info.debatty | JarCasting

java-aggregation

info.debatty : java-aggregation

Implementation of aggregation operators like WA, OWA and WOWA

Последняя версия: 1.0.1

Дата: 29 окт. 2020 г.

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...

Последняя версия: 2.0.0

Дата: 12 мая 2020 г.

java-lsh

info.debatty : java-lsh

A Java implementation of Locality Sensitive Hashing (LSH)

Последняя версия: 0.12

Дата: 24 июн. 2019 г.

spark-kmedoids

info.debatty : spark-kmedoids

Spark implementation of various k-medoids clustering algorithms.

Последняя версия: 0.1.3

Дата: 17 апр. 2018 г.

jinu

info.debatty : jinu

Easy evaluation and comparison of Java algorithms.

Последняя версия: 0.10

Дата: 4 дек. 2017 г.

java-graphs

info.debatty : java-graphs

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

Последняя версия: 0.41

Дата: 23 нояб. 2017 г.

spark-knn-graphs

info.debatty : spark-knn-graphs

Spark algorithms for building k-nn graphs

Последняя версия: 0.15

Дата: 17 сент. 2017 г.

java-datasets

info.debatty : java-datasets

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

Последняя версия: 0.14

Дата: 7 сент. 2017 г.

sparkpackages-maven-plugin

info.debatty : sparkpackages-maven-plugin

Maven plugin to publish on sparkpackages.org

Последняя версия: 0.2

Дата: 3 июн. 2017 г.

java-spamsum

info.debatty : java-spamsum

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

Последняя версия: 0.2

Дата: 11 авг. 2016 г.

sparkpackage-maven-plugin

info.debatty : sparkpackage-maven-plugin

Maven plugin to publish on sparkpackages.org

Последняя версия: 0.1

Дата: 3 дек. 2015 г.

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.