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.

Advanced GitHub analytics tool delivering deep insights into followers, followings, and engagement with efficient, modular, object-oriented design.

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.

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

Fuzzy clustering of fuzzy data

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

Exploration of USArrests data using unsupervised machine learning

An implementation of OPTICS Algorithm

Customer clustering with k-means and DBSCAN

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

Implementation of k-means algorithm using MPI technology

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.