403 Open source projects that are alternatives of or similar to fuzzy-c-means

An implementation of the Watset clustering algorithm in Java.

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Feature Selection for Clustering

This project is ABANDONWARE. Use https://www.rabbitmq.com/cluster-formation.html instead.

Push Notification using Embarcadero Rad Studio Tokyo 10.2.3 on Android and Apple Devices written in C++ and Delphi

interactive clustering platform

Cluster management for Discord bots using the Eris library.

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

A high-level Docker Services management tool built on top of Swarm

🍊 📊 💡 Orange: Interactive data analysis

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

A simple C# class using Watson TCP to enable a one-to-one high availability cluster.

Cluster and visualize relationships between anime on MyAnimeList

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Consul-based peer discovery backend for RabbitMQ 3.7.0+

Visual exploration of clustered data.

Demo implementation to Schedule FCM Notifications on Android Device using AlarmManager + WorkManager.

Modeling molecular ensembles with scalable data structures and parallel computing

Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)

The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.

dmmclust is a package for clustering short texts, based on Yin and Wang (2014)

Different clustering approaches applied on different problemsets

A Julia package for data clustering

This package has migrated to https://github.com/rezakj/iCellR please use iCellR instead of scSeqR for more functionalities and updates.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

This repository contains the code of Vert.x examples contained in my articles published on platforms such as kodcu.com, medium, dzone. How to run each example is described in its readme file.

Heart Disease prediction using 5 algorithms

c++ implementation of clustering by DBSCAN

A R framework for pipeline benchmarking, with application to single-cell RNAseq

R interface for Fixed Effect Models

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

Trajectory Tracking Project

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

A fun study of some heuristics for the Travelling Salesman Problem.

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

Software for exploration of gene expression data from single-cell RNA sequencing.

No description or website provided.

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Android library that helps to construct and launch system tray notifications from FCM Notification messages received when the app is in foreground mimicking the default format and behavior applied when the app is background.

Clustering with variational Bayes and population Monte Carlo

Dirichlet Process K-means

A Clojure machine learning library

ssdeep cluster analysis for malware files

A data-centric flow/mass cytometry automated analysis framework

SyncFlux is an Open Source InfluxDB Data synchronization and replication tool for migration purposes or HA clusters

All Machine Learning Algorithms

<<------ Use SnapATAC!!

Golang client library for Firebase Cloud Messaging.

Misc Statistics and Machine Learning codes in R

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

Ansible role to install Consul (cluster of) server/agent

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

How to do Unsupervised Clustering with Keras

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

Hazelcast .NET Client

k-means clustering in Ruby

Single cell type annotation guided by cell atlases, with freedom to be queer