Cluster and merge similar string values: an R implementation of Open Refine clustering algorithms

Theoretically Efficient and Practical Parallel DBSCAN

Self-organizing maps in Go

Dynamic Graph-Based Label Propagation for Density Peaks Clustering

Clustering related books and research papers.

Data cleaning tool.

Semi-automatic detection, tracking and labelling of active targets for autonomous driving.

An Improved Density Peaks Method for Data Clustering

Snapshot: a model-free method for clustering and visualizing epigenomic data

This repository stores my personal projects related to data science studies.

Fuzzy clustering of fuzzy data

K-Means initialisation algorithms implemented in Python as part of my MSc by Dissertation, and used to run the experiments for our paper published in IEEE Access

An implementation of OPTICS Algorithm

This repository provides classic clustering algorithms and various internal cluster quality validation metrics and also visualization capabilities to analyse the clustering results

Customer clustering with k-means and DBSCAN

This is an End to end Machine Learning project based on Flask APIs covering model training and prediction pipelines for finding calorie from fitbit band's data.

Projeto de clusterização de dados de e-commerce utilizando K-Means e DBSCAN para segmentar clientes e produtos.

Korean law data analysis using Topological Data Analysis and Mapper Algorithm

Implementation of k-means algorithm using MPI technology

A silhouette-guided instance-weighted k-means algorithm that integrates silhouette scores into the clustering process to improve clustering quality.