high-dimensional-data topic

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 statis...

mariaderrico

Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)

brian-lau

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

lightonai

Poisson pseudo-likelihood regression with multiple levels of fixed effects

sergiocorreia

🔮 Benchmarking and visualization toolkit for penalized Cox models

nanxstats

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 g...

NLeSC

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

GuansongPang

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

mackelab

Hubness analysis and removal functions

OFAI

A Toolkit for Interactive Statistical Data Visualization

great-northern-diver