367 Open source projects that are alternatives of or similar to clusters

A high performance implementation of HDBSCAN clustering.

Different clustering approaches applied on different problemsets

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Elixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data

Implements "Clustering a Million Faces by Identity"

interactive clustering platform

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

A python package to assess cluster tendency

Version 2.1.0 released

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

An experimental cluster brings Prometheus and OpenStack together

k-means clustering algorithm with k-means++ initialization.

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Tool for visualizing and empirically analyzing information encoded in binary files

Implementation of the Neural Clustering Process algorithm in Pytorch

Python port of R's Comprehensive Dynamic Time Warp algorithms package

Fuzzy Hash calculated from import API of PE files

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

Single-cell exploratory data analysis for RNA-Seq

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

A polylinear timeline with clustering, centred on interactions. — Doc and demo https://octree-gva.github.io/Zeitline/

SSH distribution for erlang

Spectral clustering algorithms written in Julia

A clustering tutorial with scikit-learn for beginners.

A JavaScript library to allocate and optimize financial portfolios.

The OpenSVC node agent

🎨 Apply color quantization to images using k-means clustering.

Consul - based cluster manager that can be plugged into Vert.x ecosystem.

Python Implementation for Linde-Buzo-Gray / Generalized Lloyd Algorithm for vector quantization.

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

High-availability and horizontal scalability for InfluxDB

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Sub-plugin for Leaflet.markercluster plugin; brings compatibility with Layers Control and other plugins

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Visually cluster your emails by sender, domain, and more to identify waste

Natural Language Processing for Lithuanian language

🙃Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Pytorch Deep Clustering with Convolutional Autoencoders implementation

Beta Machine Learning Toolkit

DBSCAN Clustering Algorithm C# Implementation

基于tensorflow搭建的神经网络recursive autuencode，用于实现句子聚类

David Mackay's book review and problem solvings and own python codes, mathematica files

A method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery

etcd-based peer discovery backend for RabbitMQ 3.7.0+

Python Clustering Algorithms

The All ▲lgorithms documentation website.

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

An implementation of a Quartz Scheduler JobStore using Hazelcast distributed Collections