Evolving Games for Unnatural Intelligence is a Java package for unsupervised machine learning based on Evolutionary Game Theory on directed graphs. It is able to segment data without any previuos information on the number of segments. It has no GUI, but implements generalizations of the original method proposed by Li, Chen, He and Jiang in the arxiv paper ”A Novel Clustering Algorithm Based Upon Games on Evolving Network”, published on 30 Dec 2008. (Source: http://freecode.com/)
References in zbMATH (referenced in 1 article )
Showing result 1 of 1.
- Li, Qiang; Chen, Zhuo; He, Yan; Jiang, Jing-Ping: A novel clustering algorithm based upon games on evolving network (2008)