info.debatty | JarCasting

java-aggregation

info.debatty : java-aggregation

Implementation of aggregation operators like WA, OWA and WOWA

Last Version: 1.0.1

Release Date: Oct 29, 2020

info.debatty : java-string-similarity

Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity...

Last Version: 2.0.0

Release Date: May 12, 2020

java-lsh

info.debatty : java-lsh

A Java implementation of Locality Sensitive Hashing (LSH)

Last Version: 0.12

Release Date: Jun 24, 2019

spark-kmedoids

info.debatty : spark-kmedoids

Spark implementation of various k-medoids clustering algorithms.

Last Version: 0.1.3

Release Date: Apr 17, 2018

jinu

info.debatty : jinu

Easy evaluation and comparison of Java algorithms.

Last Version: 0.10

Release Date: Dec 4, 2017

java-graphs

info.debatty : java-graphs

Algorithms that build k-nearest neighbors graph (k-nn graph): Brute-force, NN-Descent,...

Last Version: 0.41

Release Date: Nov 23, 2017

spark-knn-graphs

info.debatty : spark-knn-graphs

Spark algorithms for building k-nn graphs

Last Version: 0.15

Release Date: Sep 17, 2017

java-datasets

info.debatty : java-datasets

Java library for parsing various datasets: ENRON email dataset, Wikipedia web pages, DBLP papers, Reuters news ...

Last Version: 0.14

Release Date: Sep 7, 2017

sparkpackages-maven-plugin

info.debatty : sparkpackages-maven-plugin

Maven plugin to publish on sparkpackages.org

Last Version: 0.2

Release Date: Jun 3, 2017

java-spamsum

info.debatty : java-spamsum

A Java implementation of SpamSum / SSDeep / Context Triggered Piecewise Hashing

Last Version: 0.2

Release Date: Aug 11, 2016

sparkpackage-maven-plugin

info.debatty : sparkpackage-maven-plugin

Maven plugin to publish on sparkpackages.org

Last Version: 0.1

Release Date: Dec 3, 2015

spark-nndescent

info.debatty : spark-nndescent

Spark implementation of NN-Descent algorithm for building k-nn graphs, based on the paper "Efficient K-Nearest Neighbor Graph Construction for Generic Similarity Measures" by Dong et al.