Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

丛 书 名：Studies in Computational Intelligence

版本说明：1st ed. 2019

作     者：Laith Mohammad Qasim Abualigah 

I S B N：(纸本) 9783030106737 

出 版 社：Springer International Publishing 

出 版 年：2019年

主 题 词：Document clustering. Computational Intelligence. Artificial Intelligence 

学科分类：08[工学] 081203[工学-计算机应用技术] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where all documents in the same cluster are similar. The findings presented here confirm that the proposed methods and algorithms delivered the best results in comparison with other, similar methods to be found in the literature.