401 Open source projects that are alternatives of or similar to clustering-python

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

A high performance implementation of HDBSCAN clustering.

Cluster analysis library for Golang

Implements "Clustering a Million Faces by Identity"

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

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

Golang Utilities for Data Analysis

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

K-Means clustering

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Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

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

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.

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

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interactive clustering platform

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

Efficient similarity search and clustering for Ruby

Cukatify is a music social media project

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

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.

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

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

Feature Selection for Clustering

Visual exploration of clustered data.

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Implementation of SOM and GSOM

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

Heart Disease prediction using 5 algorithms

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

All Machine Learning Algorithms

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

ssdeep cluster analysis for malware files

c++ implementation of clustering by DBSCAN

🍊 📊 💡 Orange: Interactive data analysis

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

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

A Julia package for data clustering

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

⭐ A Python package for optimal 1D k-means clustering.

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

machine learning algorithms in Swift

R interface for Fixed Effect Models

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

How to do Unsupervised Clustering with Keras

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Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

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

Trajectory Tracking Project

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Fast and memory-efficient clustering

Word analysis, by domain, on the Common Crawl data set for the purpose of finding industry trends

An interactive heatmap visualization built using D3.js