clustering-algorithm

Here are 83 public repositories matching this topic...

rezakj / iCellR

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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prabhakarlab / Banksy

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BANKSY: spatial clustering

clustering-algorithm single-cell-omics spatial-omics

Updated Jun 13, 2024
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anishsingh20 / Statistical-Learning-using-R

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This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
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jirotubuyaki / ThunderBayesR

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An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

Updated Jun 30, 2022
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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
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neurodata / knorR

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R bindings for knor

machine-learning parallel-computing clustering-algorithm

Updated Mar 30, 2020
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mauropelucchi / machine-learning-course

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Machine Learning and Deep Learning Course

Updated Feb 18, 2019
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busebozkurtt / Music-Mood-Classification

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machine-learning clustering-algorithm classification-model

Updated Feb 28, 2021
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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
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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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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
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dixitamol / insuranceSalePredictor

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The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.