data mining

Implementation of the Clustering K-Nearest Data Mining Algorithm base on Java

Implementation of K-Means Clustering algorithm in Java.

Interestingness measures for frequent itemset and association rule mining.

A Python code to create decision tree based on some training data-set.

This is the implementation for the CLON algorithm. Please refer to the original paper and the web site for more information.

Web page: http://adrem.uantwerpen.be/clon Paper: https://dx.doi.org/10.1007/978-3-319-22729-0_2

Frequent itemset mining implementation for MapReduce framework.

URL : http://azelf.info

Pokemon Showdown's visualisations using a databse built with Uxie (https://github.com/Protectator/Uxie)