BANKSY: spatial clustering
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Oct 15, 2025 - R
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clustering-algorithm
Here are 86 public repositories matching this topic...
iCellR is an interactive R package designed to facilitate the analysis and visualization of high-throughput single-cell sequencing data. It supports a variety of single-cell technologies, including 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
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Nov 10, 2025 - R
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
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Apr 7, 2018 - R
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
data-science machine-learning r simulation clustering cluster bayesian-methods data-analysis bayesian bayes r-package clustering-algorithm bayesian-statistics dirichlet-process data-clustering-algorithm bayesian-nonparametric-models nonparametric crp clustering-methods bayesian-nonparametrics
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Jun 30, 2022 - R
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
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Aug 21, 2023 - R
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
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Sep 9, 2025 - R
Machine Learning and Deep Learning Course
machine-learning text-mining r scala spark deep-learning random-forest text-classification word2vec h2o kaggle artificial-intelligence supervised-learning xgboost topic-modeling ensemble-learning als glm unsupervised-learning clustering-algorithm
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Feb 18, 2019 - R
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
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Feb 27, 2025 - R
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Feb 28, 2021 - R
Clustering longitudinal data with potential sparse, irregular observations, multiple outcomes, and unbalanced cluster sizes
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Nov 23, 2022 - R
🥇 Maximum homogeneity clustering for one-dimensional data
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Aug 29, 2025 - R
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.
python r neural-network insurance random-forest svm regression logistic-regression machinelearning pruning kmeans decision-trees boruta unsupervised-learning predictive-analytics clustering-algorithm machinelearning-python propensity-modelling customerprofile
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May 23, 2021 - R
ClipStream - multiple data streams clustering method
data-science machine-learning data-mining r data-stream forecasting cluster-analysis clustering-algorithm time-series-analysis data-stream-clustering time-series-representations data-stream-mining electricity-consumption-forecasting
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Nov 26, 2018 - R
This link shows the codes in the paper: Robust Two-Layer Partition Clustering of Sparse Multivariate Functional Data. Please read readme.file first.
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Oct 25, 2022 - R
An R package containing functions for clustering multivariate data using mixtures of factor analyzers.
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Feb 23, 2019 - R
Interpretive Structural Modelling (ISM). Returns a minimum-edge hierarchical digraph following J.N. Warfield's graph partitioning algorithm.
algorithm r graph transitive-closure matrix backbone matrix-factorization matrix-multiplication reachability depth-first-search clustering-algorithm graph-partitioning adjacency-matrix digraphs interpretive-structural-modeling skeleton-matrix block-triangular-matrix minimum-edge-digraph hierarchical-levels reachability-matrix
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Nov 2, 2021 - R
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
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Nov 6, 2025 - R
everything related to unsupervised algorithms in data mining
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Jun 5, 2019 - R
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.
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May 23, 2023 - R
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