381 Open source projects that are alternatives of or similar to kmeans

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

Golang Utilities for Data Analysis

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

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

Different clustering approaches applied on different problemsets

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

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.

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Natural Language Processing for Lithuanian language

Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing

A Hidden Markov Model implemented in Javascript

Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.

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

Fuzzy Hash calculated from import API of PE files

Hierarchical clustering in JavaScript

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

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

etcd-based peer discovery backend for RabbitMQ 3.7.0+

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

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.

经典机器学习算法的极简实现

A JavaScript library to allocate and optimize financial portfolios.

How to deploy a MongoDB Replica Set using Docker

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

DBSCAN Clustering Algorithm C# Implementation

A repository to store Deep Web (onion domain) crawler, scraper, and NLP tools for Tor network.

🎨 Color palette generator from an image using WebAssesmbly and Rust

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

Spectral clustering algorithms written in Julia

Java implementation for DBSCANSD, a trajectory clustering algorithm.

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

Machine Learning Course @ Santa Clara University

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

3D hotspot mutation proximity analysis tool

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

Shell scripts to automate download of GitHub traffic statistics, cluster administration, and create an animated GIF.

KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means

Process and Analyze Mouse-Tracking Data

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

MongoDB sharded cluster

Python version of PHLAWD

An experimental cluster brings Prometheus and OpenStack together

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

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

A C++ implementation of simple k-means clustering algorithm.

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

Source code for the MorphoCluster application described in Schroeder et al. 2020

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

color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.

Python Clustering Algorithms

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Cluster analysis library for Golang

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Watchman: An open-source social-media event-detection system

Urbica React Cluster Component for Mapbox GL JS

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

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

High-availability and horizontal scalability for InfluxDB