Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering by Laith Mohammad Qasim Abualigah

Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering by Laith Mohammad Qasim Abualigah

Author:Laith Mohammad Qasim Abualigah
Language: eng
Format: epub, pdf
ISBN: 9783030106744
Publisher: Springer International Publishing


(4.5)

Each row represents an example of a single solution representation for FS technique. In cases where the value is equal 1, feature number 2 in solution number 1 is selected as informative feature. However, if the value is equal 0, then feature number 3 in solution number 4 is not selected. Note, the algorithm of the feature selection can manipulate just in these two values. Otherwise, the value is equal −1, which indicates that the feature does not appear in the document. Thus, the algorithm of the feature selection can not manipulated in this position (e.g. −1).



Download



Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.