clustering-algorithm

Here are 83 public repositories matching this topic...

AmirMotefaker / Customer-Segmentation-using-R

Customer Segmentation using R

r clustering eda k-means data-exploration clustering-algorithm k-means-clustering elbow-method customer-segmentation silhouette-method factoextra k-means-algorithm optimal-clusters optimal-number-of-clusters spending-score annual-income age-distribution customer-gender-visualization customer-gender

Updated Jun 12, 2024
R

prabhakarlab / Banksy

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BANKSY: spatial clustering

clustering-algorithm single-cell-omics spatial-omics

Updated Jun 13, 2024
R

PaulRegnier / PICAFlow

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PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.

clustering cluster immunology transformation cluster-analysis clustering-algorithm fcs cytometry normalization fcs-files immunological-bioinformatics downsampling cytometry-data cytometry-analysis-pipeline immunological-data

Updated May 31, 2024
R

𝐛𝐚𝐫𝐛𝐚𝐜 is an R package designed for the 𝘦𝘹𝘵𝘳𝘢𝘤𝘵𝘪𝘰𝘯 of barcode sequences. It efficiently 𝘤𝘭𝘶𝘴𝘵𝘦𝘳𝘴 these sequences and provides functionality for the calculation and visualization of 𝘵𝘪𝘮𝘦 𝘴𝘦𝘳𝘪𝘦𝘴 trajectories of the barcoded data.

metagenomics r-package clustering-algorithm amplicon-sequencing

Updated May 20, 2024
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meantrix / corrp

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Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in para…

r correlation parallel statistical-tests dataframe clustering-algorithm correlation-matrix pearson-correlation acca mixed-types compute-correlations correlation-calculations uncertainty-coefficient

Updated May 5, 2024
R

juliakubisa / laptops-clustering

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K-means clustering on laptops dataset

machine-learning k-means clustering-algorithm

Updated May 3, 2024
R

rezakj / iCellR

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Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).

clustering dropout batch-normalization imputation scrna-seq diffusion-maps clustering-algorithm 3d umap normalization 10xgenomics cell-type-classification intractive-graph cite-seq singel-cell-sequencing pseudotime scvdj-seq icellr

Updated Mar 28, 2024
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JaewonSon37 / Fundamentals_of_Data_Science1

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Practices and Assignments from the Fundamentals of Data Science Class

r cross-validation clustering-algorithm decision-tree-classifier svm-classifier hierarchical-clustering k-means-clustering knn-classifier

Updated Mar 21, 2024
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nanxstats / oneclust

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🥇 Maximum homogeneity clustering for one-dimensional data

feature-engineering clustering-algorithm peak-calling homogeneity univariate-data

Updated Apr 26, 2024
R

atero18 / c3t

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Clustering with connectivity (regionalization) and/or minimum-maximum size constraints

constraints connectivity resolve sizes enhancement clustering-algorithm hierarchical-clustering

Updated Nov 28, 2023
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hassothea / KFC-Procedure

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KFC procedure is a three-step machine learning procedure used to build a predictive model in both classification and regression problems.

machine-learning-algorithms predictive-modeling clustering-algorithm

Updated Sep 13, 2023
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pravinknr / DataScience_R_Codes

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This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

data-science r random-forest linear-regression machine-learning-algorithms naive-bayes-classifier confidence-intervals logistic-regression support-vector-machine association-rules hypothesis-testing decision-tree descriptive-statistics nlp-machine-learning clustering-algorithm decision-tree-classifier k-nearest-neighbours forecasting-models principle-component-analysis

Updated Aug 21, 2023
R

pajaskowiak / clusterConfusion

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Clustering validation with ROC Curves

clustering k-means roc-curve clustering-algorithm clustering-evaluation hierarchical-clustering clustering-validation k-means-clustering roc-auc clustering-analysis roc-plot roc-curves roc-analysis auc-score roc-auc-curve roc-auc-score

Updated Jul 5, 2023
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LuciferDIot / Vehicle-Clustering-and-Dimensionality-Reduction

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This work involves two subtasks: assessing clustering results using all input variables and applying PCA for dimensionality reduction to improve understanding of multi-dimensional problems.

machine-learning-algorithms pca clustering-algorithm dimentionality-reduction

Updated May 23, 2023
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joanzz / CFC

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An R package that integrates data preprocessing, clustering, and visualization.

r clustering-algorithm

Updated May 20, 2023
R

mjkim1001 / ZITS

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This study develops a new clustering method for high-dimensional zero-inflated time-series data by proposing a similarity measure based on Thick Pen Transformation. Two real data set considered were step count data and newly confirmed COVID-19 case data.

transformation clustering-algorithm time-series-analysis

Updated Mar 20, 2023
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mcavallaro / outbreak-detection

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Software supporting M. Cavallaro, et al., Cluster detection with random neighbourhood covering: Application to invasive Group A Streptococcal disease. PLoS Comput Biol 18(11): e1010726 (2022) https://doi.org/10.1371/journal.pcbi.1010726.

clustering-algorithm outbreak-detection