Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering is popular PDF and ePub book, written by Laith Mohammad Qasim Abualigah in 2018-12-18, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering can be Read Online from any device for your convenience.
Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering Book PDF Summary
This book puts forward a new method for solving the text document (TD) clustering problem, which is established in two main stages: (i) A new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed dimension reduction technique, in order to obtain a new subset of more informative features with low-dimensional space. This new subset is subsequently used to improve the performance of the text clustering (TC) algorithm and reduce its computation time. The k-mean clustering algorithm is used to evaluate the effectiveness of the obtained subsets. (ii) Four krill herd algorithms (KHAs), namely, the (a) basic KHA, (b) modified KHA, (c) hybrid KHA, and (d) multi-objective hybrid KHA, are proposed to solve the TC problem; each algorithm represents an incremental improvement on its predecessor. For the evaluation process, seven benchmark text datasets are used with different characterizations and complexities. 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.
Detail Book of Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering PDF
- Author : Laith Mohammad Qasim Abualigah
- Release : 18 December 2018
- Publisher : Springer
- ISBN : 9783030106744
- Genre : Technology & Engineering
- Total Page : 186 pages
- Language : English
- PDF File Size : 13,5 Mb
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