Alternatives and similar repositories for K-Means

Users that are interested in K-Means are comparing it to the libraries listed below

• yangliuy / DataMiningCluster
  Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN.
  ☆44Updated 7 years ago
• markomih / kmeans_mapreduce
  K-means MapReduce implementation
  ☆46Updated 8 months ago
• punit-naik / MLHadoop
  This repository contains Machine-Learning MapReduce codes for Hadoop which are written from scratch (without using any package or library…
  ☆57Updated 2 years ago
• thomasjungblut / mapreduce-kmeans
  Naive K-Means clustering with MapReduce
  ☆21Updated 3 years ago
• stuntgoat / kmeans
  K Means Clustering with Python
  ☆218Updated last year
• evancasey / spark-knn-recommender
  Item and User-based KNN recommendation algorithms using PySpark
  ☆126Updated 7 years ago
• lbehnke / hierarchical-clustering-java
  Implementation of an agglomerative hierarchical clustering algorithm in Java. Different linkage approaches are supported.
  ☆141Updated 4 years ago
• HanXiaoyang / pyspark-recommendation-demo
  movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
  ☆95Updated 8 years ago
• bwoneill / pypardis
  A parallel distributed implementation of DBSCAN on Spark using Python
  ☆75Updated 6 years ago
• kjahan / k_means
  A Python implementation of k-means clustering algorithm
  ☆181Updated last year
• johnasbaghi / louvain-modularity
  A GraphX implementation of Louvain method for community detection. This project also showcases the fact that you don't need to setup a cl…
  ☆38Updated 6 years ago
• LiYvbo / SparkKmeans
  毕业设计源码-基于Spark的Kmeans聚类算法优化
  ☆18Updated 8 years ago
• Sotera / distributed-graph-analytics
  Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks su…
  ☆175Updated 6 years ago
• songgc / display-advertising-challenge
  Criteo/Kaggle Competition of CTR prediction
  ☆130Updated 10 years ago
• ironmanMA / Random-Forest
  Random Forest Implementation in Java
  ☆61Updated 9 years ago
• chenhuang-learn / ffm
  field-aware factorization machine implemented by java with an experiment using criteo data set.
  ☆39Updated 9 years ago
• DMDarkness / Data-mining
  Some algorithms to form frequent itemsets/association rules from datasets, where many techniques, such as FP-tree, Apriori, PSO, GA, Gran…
  ☆62Updated 8 years ago
• fluency03 / logclustering-py
  Log clustering by detecting the similarity between two logs.
  ☆13Updated 9 years ago
• tpeng / logistic-regression
  A simple implementation of logisitic regression in Java
  ☆69Updated 7 years ago
• thunderain-project / examples
  A SimRank algorithm implementation using Spark
  ☆48Updated 11 years ago
• marklit / recommend
  Film recommendations with Apache Spark and Python
  ☆61Updated 9 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆88Updated 6 years ago
• irvingc / dbscan-on-spark
  An implementation of DBSCAN runing on top of Apache Spark
  ☆183Updated 7 years ago
• amir-f / delta-simrank
  Calculate SimRank for a Networkx graph using the Delta Simrank method within MapReduce framework
  ☆51Updated 9 years ago
• eoinhurrell / python-spark-recsys
  An example Python ALS recommender system
  ☆24Updated 9 years ago
• hainguyen-telenor / Learning-to-rank-from-implicit-feedback
  ☆17Updated 9 years ago
• pmerienne / trident-ml
  Trident-ML : A realtime online machine learning library
  ☆381Updated last year
• RyanYoung25 / randomForest
  Python implementation of a random forest for use with continuous value attributes
  ☆58Updated 7 years ago
• HK-Zhang / wheats
  ML:Clique Cluster-Java
  ☆15Updated 9 years ago
• ichuang / tflearn_wide_and_deep
  Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
  ☆145Updated 8 years ago