clustersCluster analysis library for Golang
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HdbscanA high performance implementation of HDBSCAN clustering.
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Clustering4EverC4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.
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genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
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clopeElixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data
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Clustering-in-PythonClustering 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.
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clueminerinteractive clustering platform
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clustering-pythonDifferent clustering approaches applied on different problemsets
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pytorch kmeansImplementation of the k-means algorithm in PyTorch that works for large datasets
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hotspot3d3D hotspot mutation proximity analysis tool
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scclustevalSingle Cell Cluster Evaluation
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mousetrapProcess and Analyze Mouse-Tracking Data
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lannisterA lightweight MQTT broker w/ full spec,Clustering,WebSocket,SSL written in Java
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FredA fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.
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color clothcolor_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.
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influxdb-haHigh-availability and horizontal scalability for InfluxDB
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ex unitedEasily spawn Elixir nodes (supervising, Mix configured, easy asserted / refuted) within ExUnit tests
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Sampled-MinHashingA method to mine beyond-pairwise relationships using Min-Hashing for large-scale pattern discovery
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hclustHierarchical clustering in JavaScript
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kmeansK-Means clustering
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ST-DBSCANImplementation of ST-DBSCAN algorithm based on Birant 2007
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Python-Machine-Learning-FundamentalsD-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.
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PyPHLAWDPython version of PHLAWD
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Linux-adminShell scripts to automate download of GitHub traffic statistics, cluster administration, and create an animated GIF.
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LIUMScripts for LIUM SpkDiarization tools
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dbscan-python[New Version] Theoretically Efficient and Practical Parallel DBSCAN
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nlp-ltNatural Language Processing for Lithuanian language
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kmeansA simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
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genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
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impfuzzyFuzzy Hash calculated from import API of PE files
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SparseLSHA Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.
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adenineADENINE: A Data ExploratioN PipelINE
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dropClustVersion 2.1.0 released
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protoactor-goProto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
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hmmA Hidden Markov Model implemented in Javascript
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pulsehaPulseHA is a active-passive high availability cluster daemon that uses GRPC and is written in GO.
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peeling-onionsA repository to store Deep Web (onion domain) crawler, scraper, and NLP tools for Tor network.
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RATTLEReference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing
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dbMAPA fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
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watchmanWatchman: An open-source social-media event-detection system
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Clustering-DatasetsThis 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.
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faytheAn experimental cluster brings Prometheus and OpenStack together
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SpectreA computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
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