C

clustering

this project was done on a text dataset with labels about topics, the goal from this project is to make it as a small reference for myself about clustering and its metrics and reduction techniques, it was not intended for anyone else, but if you find it useful feel free to learn from it and show your friends

deployment link: https://orthodox-clusteringfr-gb3ygqya9aicctlx5qdwft.streamlit.app/

pt_kmeans is a high-performance, pure PyTorch K-Means implementation for CPU/GPU, featuring K-Means++ initialization, hierarchical clustering, and cluster splitting, optimized for large-scale datasets.

A regular expression generator for arbitrary sets of strings. Returns the patterns with exact or generalised character sets, depending on the choice of the user, and facilitates clustering over patterns to create superpatterns.

A program that utilizes cluster computing and parallel programming to simulate trading strategies on the Nordic stock market.

My attempts to solve homework from the Moscow Institute of Physics and Technology course

Collection of completed data-mining (university course) on python

A simple spectral clustering example made with Python.

"Cloud container data analytics, statistical modeling, and machine learning on distributed databases". "A free opensource alternative to SPSS, SAS, MATLAB, PowerBI, Tableau and Alteryx". Runs on Linux, Windows, MacOS, and in the cloud via containers.

This repository contiains the implementation of DPC-based algorithm as described in Russo, E.T., Laio, A. & Punta, M. Density Peak clustering of protein sequences associated to a Pfam clan reveals clear similarities and interesting differences with respect to manual family annotation. BMC Bioinformatics 22, 121 (2021). https://doi.org/10.1186/s12859-021-04013-x. Note that the implementation has been written with the puropose of analysing, on a traditional workstation (8GB ram, 4-8 cores), query datasets with up to 5000 proteins, as those analysed in the reference paper.

Python libraries for Principal Component Analysis-based (PCA) model order reduction, clustering and data analysis.

pyAMNESIA: a python pipeline for analysing the Activity and Morphology of NEurons using Skeletonization and other Image Analysis techniques.

Clustering documents to get an overview of a corpus

Машинное обучение. Анализ алгоритмов кластеризации

Testing functions and features of a music production utility app.

This repo presents performance comparisons between a serial implementation, a MPI based and a Spark based implementation of a document clustering algorithm