high-dimensional-data

A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

visualization workflow data-science snakemake clustering heatmap data-visualization high-dimensional-data pca dimensionality-reduction unsupervised-learning cluster-analysis principal-component-analysis clustering-algorithm umap cluster-validation leiden-algorithm densmap clustree

UpdatedSep 12, 2025
Python

great-northern-diver /loon

Star49

A Toolkit for Interactive Statistical Data Visualization

python data-science statistics exploratory-data-analysis data-visualization high-dimensional-data statistical-analysis tk data-analysis statistical-graphics interactive-visualizations interactive-graphics tcl-extension exploratory-analysis loon

UpdatedJun 18, 2025
Tcl

GuansongPang /deep-outlier-detection

Star48

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

deep-learning high-dimensional-data outlier-detection representation-learning few-shot-learning

UpdatedNov 10, 2020
Python

nanxstats /hdnom

Star46

🔮 Benchmarking and visualization toolkit for penalized Cox models

benchmark linear-regression high-dimensional-data survival-analysis penalized-cox-models nomogram-visualization

UpdatedJun 9, 2025
R

lightonai /newma

Star46

Implementation of NEWMA: a new method for scalable model-free online change-point detection

python machine-learning timeseries paper high-dimensional-data hardware-acceleration change-point-detection

UpdatedMay 4, 2020
Python

VarIr /scikit-hubness

Star45

A Python package for hubness analysis and high-dimensional data mining

data-science machine-learning data-mining high-dimensional-data nearest-neighbor-search approximate-nearest-neighbor-search hubness

UpdatedMay 31, 2024
Python

ejohnson643 /EMBEDR

Star29

Statistical quality evaluation of dimensionality reduction algorithms

high-dimensional-data dimensionality-reduction dimension-reduction scrna-seq-analysis high-dimension-visualization

UpdatedAug 21, 2023
Jupyter Notebook

The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.

python scikit-learn high-dimensional-data clustering-algorithm non-parametric-density-estimation hierarchy-visualization

UpdatedDec 30, 2021
Jupyter Notebook

NLeSC /DiVE

Star26

An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visithttps://github.com/sonjageorgievska/Em…

high-dimensional-data web-application manifold-learning interactive-visualizations 3d-data embedded-data non-linear-dimensionality-reduction