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.

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

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

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.

An implementation of OPTICS Algorithm

Customer clustering with k-means and DBSCAN

Exploration of USArrests data using unsupervised machine learning

An automated AI pipeline that sorts massive photo collections by identity. Powered by FaceNet (Embeddings) and DBSCAN (Unsupervised Clustering). No prior training required.

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.

Korean law data analysis using Topological Data Analysis and Mapper Algorithm

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

Implementation of k-means algorithm using MPI technology

📸 Organize large photo libraries by automatically clustering and sorting faces without prior training using unsupervised AI methods.

Implementation of DBSCAN clustering algorithm in C (standard C89/C90)

🔖 Cluster points in dataset using DBSCAN

Dead Simple models in PyTorch (Kind of DL sandbox)

Machine learning algorithms to perform data clustering

A simple example of data clustering using scikit learn.

Implementations of various Data Clustering Algorithms

SegmentWise: Unveiling Customer Insights for Exploratory Data Analysis (EDA) and Customer Segmentation

Kmeans clustering of multivariate text data in C++