Update to commit 66bcf33: Revised directory names, following the same…

… convention (title/proper case, with a hyphen in between words)
TheAlgorithms · May 8, 2021 · 23a8659 · 23a8659
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diff --git a/classification/KNN.R → Classification-Algorithms/KNN.R b/classification/KNN.R → Classification-Algorithms/KNN.R
diff --git a/classification/LightGBM.R → Classification-Algorithms/LightGBM.R b/classification/LightGBM.R → Classification-Algorithms/LightGBM.R
diff --git a/classification/SVM.R → Classification-Algorithms/SVM.R b/classification/SVM.R → Classification-Algorithms/SVM.R
diff --git a/classification/decision_tree.R → Classification-Algorithms/decision_tree.R b/classification/decision_tree.R → Classification-Algorithms/decision_tree.R
diff --git a/...sification/gradient_boosting_algorithms.R → ...Algorithms/gradient_boosting_algorithms.R b/...sification/gradient_boosting_algorithms.R → ...Algorithms/gradient_boosting_algorithms.R
diff --git a/classification/lasso.R → Classification-Algorithms/lasso.R b/classification/lasso.R → Classification-Algorithms/lasso.R
diff --git a/classification/naive_bayes.R → Classification-Algorithms/naive_bayes.R b/classification/naive_bayes.R → Classification-Algorithms/naive_bayes.R
diff --git a/classification/random_forest.R → Classification-Algorithms/random_forest.R b/classification/random_forest.R → Classification-Algorithms/random_forest.R
diff --git a/classification/xgboost.R → Classification-Algorithms/xgboost.R b/classification/xgboost.R → Classification-Algorithms/xgboost.R
diff --git a/clustering/K-Means.R → Clustering-Algorithms/K-Means.R b/clustering/K-Means.R → Clustering-Algorithms/K-Means.R
diff --git a/clustering/dbscan_clustering.R → Clustering-Algorithms/dbscan_clustering.R b/clustering/dbscan_clustering.R → Clustering-Algorithms/dbscan_clustering.R
diff --git a/clustering/gmm.R → Clustering-Algorithms/gmm.R b/clustering/gmm.R → Clustering-Algorithms/gmm.R
diff --git a/clustering/heirarchical_clustering.R → ...ring-Algorithms/heirarchical_clustering.R b/clustering/heirarchical_clustering.R → ...ring-Algorithms/heirarchical_clustering.R
diff --git a/clustering/kmeans_clustering.R → Clustering-Algorithms/kmeans_clustering.R b/clustering/kmeans_clustering.R → Clustering-Algorithms/kmeans_clustering.R
diff --git a/clustering/kmeans_raw_R.R → Clustering-Algorithms/kmeans_raw_R.R b/clustering/kmeans_raw_R.R → Clustering-Algorithms/kmeans_raw_R.R
diff --git a/clustering/pam.R → Clustering-Algorithms/pam.R b/clustering/pam.R → Clustering-Algorithms/pam.R
diff --git a/preprocessing/K_Folds.R → Data-Preprocessing/K_Folds.R b/preprocessing/K_Folds.R → Data-Preprocessing/K_Folds.R
diff --git a/...sing/data_normalization_standardization.R → ...sing/data_normalization_standardization.R b/...sing/data_normalization_standardization.R → ...sing/data_normalization_standardization.R
@@ -1,49 +1,49 @@
-# normalization & standardization
-normalization<-function(x){
-  return((x-min(x))/(max(x)-min(x)))
-}
-
-standardization<-function(x){
-  return((x-mean(x))/sd(x))
-}
-
-head(iris)
-# Sepal.Length Sepal.Width Petal.Length Petal.Width Species
-# 1          5.1         3.5          1.4         0.2  setosa
-# 2          4.9         3.0          1.4         0.2  setosa
-# 3          4.7         3.2          1.3         0.2  setosa
-# 4          4.6         3.1          1.5         0.2  setosa
-# 5          5.0         3.6          1.4         0.2  setosa
-# 6          5.4         3.9          1.7         0.4  setosa
-
-iris<-iris[,-5]
-head(iris)
-# Sepal.Length Sepal.Width Petal.Length Petal.Width
-# 1          5.1         3.5          1.4         0.2
-# 2          4.9         3.0          1.4         0.2
-# 3          4.7         3.2          1.3         0.2
-# 4          4.6         3.1          1.5         0.2
-# 5          5.0         3.6          1.4         0.2
-# 6          5.4         3.9          1.7         0.4
-
-#normalize
-apply(as.matrix(iris),2,normalization)
-# Sepal.Length Sepal.Width Petal.Length Petal.Width
-# [1,]   0.22222222  0.62500000   0.06779661  0.04166667
-# [2,]   0.16666667  0.41666667   0.06779661  0.04166667
-# [3,]   0.11111111  0.50000000   0.05084746  0.04166667
-# [4,]   0.08333333  0.45833333   0.08474576  0.04166667
-# [5,]   0.19444444  0.66666667   0.06779661  0.04166667
-# [6,]   0.30555556  0.79166667   0.11864407  0.12500000
-# [7,]   0.08333333  0.58333333   0.06779661  0.08333333
-
-#standardize
-apply(as.matrix(iris),2,standardization)
-# Sepal.Length Sepal.Width Petal.Length   Petal.Width
-# [1,]  -0.89767388  1.01560199  -1.33575163 -1.3110521482
-# [2,]  -1.13920048 -0.13153881  -1.33575163 -1.3110521482
-# [3,]  -1.38072709  0.32731751  -1.39239929 -1.3110521482
-# [4,]  -1.50149039  0.09788935  -1.27910398 -1.3110521482
-# [5,]  -1.01843718  1.24503015  -1.33575163 -1.3110521482
-# [6,]  -0.53538397  1.93331463  -1.16580868 -1.0486667950
+# normalization & standardization
+normalization<-function(x){
+  return((x-min(x))/(max(x)-min(x)))
+}
+
+standardization<-function(x){
+  return((x-mean(x))/sd(x))
+}
+
+head(iris)
+# Sepal.Length Sepal.Width Petal.Length Petal.Width Species
+# 1          5.1         3.5          1.4         0.2  setosa
+# 2          4.9         3.0          1.4         0.2  setosa
+# 3          4.7         3.2          1.3         0.2  setosa
+# 4          4.6         3.1          1.5         0.2  setosa
+# 5          5.0         3.6          1.4         0.2  setosa
+# 6          5.4         3.9          1.7         0.4  setosa
+
+iris<-iris[,-5]
+head(iris)
+# Sepal.Length Sepal.Width Petal.Length Petal.Width
+# 1          5.1         3.5          1.4         0.2
+# 2          4.9         3.0          1.4         0.2
+# 3          4.7         3.2          1.3         0.2
+# 4          4.6         3.1          1.5         0.2
+# 5          5.0         3.6          1.4         0.2
+# 6          5.4         3.9          1.7         0.4
+
+#normalize
+apply(as.matrix(iris),2,normalization)
+# Sepal.Length Sepal.Width Petal.Length Petal.Width
+# [1,]   0.22222222  0.62500000   0.06779661  0.04166667
+# [2,]   0.16666667  0.41666667   0.06779661  0.04166667
+# [3,]   0.11111111  0.50000000   0.05084746  0.04166667
+# [4,]   0.08333333  0.45833333   0.08474576  0.04166667
+# [5,]   0.19444444  0.66666667   0.06779661  0.04166667
+# [6,]   0.30555556  0.79166667   0.11864407  0.12500000
+# [7,]   0.08333333  0.58333333   0.06779661  0.08333333
+
+#standardize
+apply(as.matrix(iris),2,standardization)
+# Sepal.Length Sepal.Width Petal.Length   Petal.Width
+# [1,]  -0.89767388  1.01560199  -1.33575163 -1.3110521482
+# [2,]  -1.13920048 -0.13153881  -1.33575163 -1.3110521482
+# [3,]  -1.38072709  0.32731751  -1.39239929 -1.3110521482
+# [4,]  -1.50149039  0.09788935  -1.27910398 -1.3110521482
+# [5,]  -1.01843718  1.24503015  -1.33575163 -1.3110521482
+# [6,]  -0.53538397  1.93331463  -1.16580868 -1.0486667950
 # [7,]  -1.50149039  0.78617383  -1.33575163 -1.1798594716
diff --git a/preprocessing/data_processing.R → Data-Preprocessing/data_processing.R b/preprocessing/data_processing.R → Data-Preprocessing/data_processing.R
diff --git a/...ing/dimensionality_reduction_algorithms.R → ...ing/dimensionality_reduction_algorithms.R b/...ing/dimensionality_reduction_algorithms.R → ...ing/dimensionality_reduction_algorithms.R
diff --git a/preprocessing/lasso.R → Data-Preprocessing/lasso.R b/preprocessing/lasso.R → Data-Preprocessing/lasso.R
diff --git a/maths/Factorial.R → Mathematics/Factorial.R b/maths/Factorial.R → Mathematics/Factorial.R
diff --git a/maths/Fibonacci.R → Mathematics/Fibonacci.R b/maths/Fibonacci.R → Mathematics/Fibonacci.R
diff --git a/maths/prime_check.R → Mathematics/prime_check.R b/maths/prime_check.R → Mathematics/prime_check.R
diff --git a/README.md b/README.md
@@ -11,10 +11,10 @@ Here are some common algorithms that can be applied to almost all data problems:
 
 ### PREPROCESSING
 - Feature projection
-    - [Dimensionality Reduction Algorithm](https://github.com/TheAlgorithms/R/blob/master/Preprocessing/dimensionality_reduction_algorithms.R)
-- Data manipulattion
-    - [Data Processing](https://github.com/TheAlgorithms/R/blob/master/Preprocessing/data_processing.R)
-    - [Data normalization and standardization](https://github.com/TheAlgorithms/R/blob/master/Preprocessing/data_normalization_standardization.R)
+    - [Dimensionality Reduction Algorithm](https://github.com/TheAlgorithms/R/blob/master/Data-Preprocessing/dimensionality_reduction_algorithms.R)
+- Data manipulation
+    - [Data Processing](https://github.com/TheAlgorithms/R/blob/master/Data-Preprocessing/data_processing.R)
+    - [Data normalization and standardization](https://github.com/TheAlgorithms/R/blob/master/Data-Preprocessing/data_normalization_standardization.R)
     - Categorical variable into numerical
       - [One Hot Encoding](https://github.com/TheAlgorithms/R/blob/master/Data-Manipulation/OneHotEncode.R)
       - [Label Encoding](https://github.com/TheAlgorithms/R/blob/master/Data-Manipulation/LabelEncode.R)
@@ -30,44 +30,44 @@ Here are some common algorithms that can be applied to almost all data problems:
 
 ### SUPERVISED LEARNING
   - Classification
-    - [Decision Tree](https://github.com/TheAlgorithms/R/blob/master/Classification/decision_tree.R)
-    - [Gradient Boosting Algorithm](https://github.com/TheAlgorithms/R/blob/master/Classification/gradient_boosting_algorithms.R)
-    - [KNN](https://github.com/TheAlgorithms/R/blob/master/Classification/KNN.R)
-    - [LightGBM](https://github.com/TheAlgorithms/R/blob/master/Classification/LightGBM.R)
-    - [Logistic Regression](https://github.com/TheAlgorithms/R/blob/master/Classification/logistic_regression.R)
-    - [Naive Bayes](https://github.com/TheAlgorithms/R/blob/master/Classification/naive_bayes.R)
-    - [Random Forest](https://github.com/TheAlgorithms/R/blob/master/Classification/random_forest.R)
-    - [SVM](https://github.com/TheAlgorithms/R/blob/master/Classification/SVM.R)
-    - [XGBoost](https://github.com/TheAlgorithms/R/blob/master/Classification/xgboost.R)
-    - [Lasso](https://github.com/TheAlgorithms/R/blob/master/Classification/lasso.R)
+    - [Decision Tree](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/decision_tree.R)
+    - [Gradient Boosting Algorithm](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/gradient_boosting_algorithms.R)
+    - [KNN](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/KNN.R)
+    - [LightGBM](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/LightGBM.R)
+    - [Logistic Regression](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/logistic_regression.R)
+    - [Naive Bayes](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/naive_bayes.R)
+    - [Random Forest](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/random_forest.R)
+    - [SVM](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/SVM.R)
+    - [XGBoost](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/xgboost.R)
+    - [Lasso](https://github.com/TheAlgorithms/R/blob/master/Classification-Algorithms/lasso.R)
   - Regression
-    - [Gradient Boosting Algorithm](https://github.com/TheAlgorithms/R/blob/master/Regression/gradient_boosting_algorithms.R)
-    - [KNN](https://github.com/TheAlgorithms/R/blob/master/Regression/KNN.R)
-    - [LightGBM](https://github.com/TheAlgorithms/R/blob/master/Regression/LightGBM.R)
-    - [Linear Regression](https://github.com/TheAlgorithms/R/blob/master/Regression/linear_regression.R)
-    - [Artificial Neural Net](https://github.com/TheAlgorithms/R/blob/master/Regression/ANN.R)
+    - [Gradient Boosting Algorithm](https://github.com/TheAlgorithms/R/blob/master/Regression-Algorithms/gradient_boosting_algorithms.R)
+    - [KNN](https://github.com/TheAlgorithms/R/blob/master/Regression-Algorithms/KNN.R)
+    - [LightGBM](https://github.com/TheAlgorithms/R/blob/master/Regression-Algorithms/LightGBM.R)
+    - [Linear Regression](https://github.com/TheAlgorithms/R/blob/master/Regression-Algorithms/linear_regression.R)
+    - [Artificial Neural Net](https://github.com/TheAlgorithms/R/blob/master/Regression-Algorithms/ANN.R)
 
 ### UNSUPERVISED LEARNING
   - Clustering
-    - [K-Means](https://github.com/TheAlgorithms/R/blob/master/Clustering/K-Means.R)
-    - [DbScan Clustering](https://github.com/TheAlgorithms/R/blob/master/Clustering/dbscan_clustering.R)
-    - [Heirarchical Clustering](https://github.com/TheAlgorithms/R/blob/master/Clustering/heirarchical_clustering.R)
-    - [K-Means Clustering](https://github.com/TheAlgorithms/R/blob/master/Clustering/kmeans_clustering.R)
+    - [K-Means](https://github.com/TheAlgorithms/R/blob/master/Clustering-Algorithms/K-Means.R)
+    - [DbScan Clustering](https://github.com/TheAlgorithms/R/blob/master/Clustering-Algorithms/dbscan_clustering.R)
+    - [Heirarchical Clustering](https://github.com/TheAlgorithms/R/blob/master/Clustering-Algorithms/heirarchical_clustering.R)
+    - [K-Means Clustering](https://github.com/TheAlgorithms/R/blob/master/Clustering-Algorithms/kmeans_clustering.R)
 
 ### SORTING
-  - [Bubble Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Bubble%20sort.R)
-  - [Comb Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Comb%20sort.R)
-  - [Insertion Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Insertion%20sort.R)
-  - [Quick Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Quick%20sort.R)  
-  - [Selection Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Selection%20sort.R)
-  - [Stooge Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Stooge%20sort.R)
-  - [Merge Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Merge%20sort.R)
-  - [Radix Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Radix%20sort.R)
-  - [Heap Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting/Heap%20sort.R)
+  - [Bubble Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Bubble%20sort.R)
+  - [Comb Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Comb%20sort.R)
+  - [Insertion Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Insertion%20sort.R)
+  - [Quick Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Quick%20sort.R)  
+  - [Selection Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Selection%20sort.R)
+  - [Stooge Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Stooge%20sort.R)
+  - [Merge Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Merge%20sort.R)
+  - [Radix Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Radix%20sort.R)
+  - [Heap Sort](https://github.com/TheAlgorithms/R/blob/master/Sorting-Algorithms/Heap%20sort.R)
 
 ## Contribution Guidelines
 Please ensure to follow the points stated below if you would like to contribute:
 - If your proposing a new algorithm or making changes to an existing one, make sure your code works. Reviewers or the general user must be able to directly emplace it in an R environment and get the desired output.
 - Add an example to showcase the use of an algorithm proposed. It can be commented.
 - Follow proper naming convention for variables (use `.` or `_` to seperate terms, such as `results.df` for a data frame containing some results) and filenames (follow the convention that has been followed for files under the directory your committing to).
-- Feel free to add links here to the newly added file(s), but ensure that they do not result in a merge conflict with different versions of this readme under previous pull requests. 
+- Feel free to add links here to the newly added file(s), but ensure that they do not result in a merge conflict with different versions of this readme under previous pull requests. 
diff --git a/regression/ANN.R → Regression-Algorithms/ANN.R b/regression/ANN.R → Regression-Algorithms/ANN.R
diff --git a/regression/KNN.R → Regression-Algorithms/KNN.R b/regression/KNN.R → Regression-Algorithms/KNN.R
diff --git a/regression/LightGBM.R → Regression-Algorithms/LightGBM.R b/regression/LightGBM.R → Regression-Algorithms/LightGBM.R
diff --git a/regression/gradient_boosting_algorithms.R → ...Algorithms/gradient_boosting_algorithms.R b/regression/gradient_boosting_algorithms.R → ...Algorithms/gradient_boosting_algorithms.R
diff --git a/regression/linearRegressionRawR.R → Regression-Algorithms/linearRegressionRawR.R b/regression/linearRegressionRawR.R → Regression-Algorithms/linearRegressionRawR.R
diff --git a/regression/linear_regression.R → Regression-Algorithms/linear_regression.R b/regression/linear_regression.R → Regression-Algorithms/linear_regression.R
diff --git a/regression/logistic_regression.R → Regression-Algorithms/logistic_regression.R b/regression/logistic_regression.R → Regression-Algorithms/logistic_regression.R
diff --git a/regression/logistic_regression2.R → Regression-Algorithms/logistic_regression2.R b/regression/logistic_regression2.R → Regression-Algorithms/logistic_regression2.R
diff --git a/regression/multiple_linear_regression.R → ...n-Algorithms/multiple_linear_regression.R b/regression/multiple_linear_regression.R → ...n-Algorithms/multiple_linear_regression.R
diff --git a/sorting/bubble_sort.R → Sorting-Algorithms/bubble_sort.R b/sorting/bubble_sort.R → Sorting-Algorithms/bubble_sort.R
diff --git a/sorting/comb_sort.R → Sorting-Algorithms/comb_sort.R b/sorting/comb_sort.R → Sorting-Algorithms/comb_sort.R
diff --git a/sorting/heap_sort.R → Sorting-Algorithms/heap_sort.R b/sorting/heap_sort.R → Sorting-Algorithms/heap_sort.R
diff --git a/sorting/insertion_sort.R → Sorting-Algorithms/insertion_sort.R b/sorting/insertion_sort.R → Sorting-Algorithms/insertion_sort.R
diff --git a/sorting/merge_sort.R → Sorting-Algorithms/merge_sort.R b/sorting/merge_sort.R → Sorting-Algorithms/merge_sort.R
diff --git a/sorting/quick_sort.R → Sorting-Algorithms/quick_sort.R b/sorting/quick_sort.R → Sorting-Algorithms/quick_sort.R
diff --git a/sorting/radix_sort.R → Sorting-Algorithms/radix_sort.R b/sorting/radix_sort.R → Sorting-Algorithms/radix_sort.R
diff --git a/sorting/selection_sort.R → Sorting-Algorithms/selection_sort.R b/sorting/selection_sort.R → Sorting-Algorithms/selection_sort.R
diff --git a/sorting/stooge_sort.R → Sorting-Algorithms/stooge_sort.R b/sorting/stooge_sort.R → Sorting-Algorithms/stooge_sort.R