Weight-based firefly algorithm for document clustering
Existing clustering techniques have many drawbacks and this includes being trapped in a local optima. In this paper, we introduce the utilization of a new meta-heuristics algorithm, namely the Firefly algorithm (FA) to increase solution diversity. FA is a nature-inspired algorithm that is used in ma...
Saved in:
Main Authors: | Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Springer
2013
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/17115/1/3.pdf http://repo.uum.edu.my/17115/ http://doi.org/10.1007/978-981-4585-18-7_30 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Experimental analysis of firefly algorithms for divisive clustering of web documents
by: Mohammed, Athraa Jasim, et al.
Published: (2014) -
Document clustering based on firefly algorithm
by: Mohammed, Athraa Jasim, et al.
Published: (2015) -
Basic firefly algorithm for document clustering
by: Mohammed, Athraa Jasim, et al.
Published: (2015) -
Document clustering for knowledge discovery using nature-inspired algorithm
by: Mohammed, Athraa Jasim, et al.
Published: (2014) -
Nature inspired data mining algorithm for document clustering in information retrieval
by: Mohammed, Athraa Jasim, et al.
Published: (2014)