Spark library for generalized K-Means clustering. Supports general Bregman divergences. Suitable for clustering probabilistic data, time series data, high dimensional data, and very large data.

Hierarchical, iterative clustering for analysis of transcriptomics data in R

Telegram Data Clustering contest solution by Mindful Squirrel

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Nonlinear Nonparametric Statistics

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware

A Data Clinic project that aggregates NYC Open Data at the tract-level and uses Machine Learning techniques to re-imagine neighborhood boundaries.

Calib clusters barcode tagged paired-end reads based on their barcode and sequence similarity.

Here you find the homeworks of ADM class of the MSc in Data Science @ La Sapienza University

OpenGeoHub 2023 Workshop: "Unsupervised classification (clustering) of satellite images"

📈 Machine Learning from the perspective of a Statistician using R

Unsupervised ML: Finding Customer Segments in General Population

Mock pairs trading strategy and backtesting with Kalman iltering and pair selection using clustering and cointegration.

Tutorial on parallel processing of raster data in the {stars} package

d3heatmap is a Python package to create interactive heatmaps based on d3js.

A collection of simple machine learning projects, that got me started in this wonderful domain!

Yet another single-cell analysis toolkit