Communication and Computing Systems 2016
DOI: 10.1201/9781315364094-30
|View full text |Cite
|
Sign up to set email alerts
|

A novel PSO based algorithm to find initial seeds for the k-means clustering algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…Owing to the excellent characteristics of PSO, some scholars tried to use PSO to generate initial centres for the K ‐means algorithm [18–21]. Esmin et al considered the problem of unequal distribution of data in different clusters and improved the fitness function [11, 22].…”
Section: Related Workmentioning
confidence: 99%
“…Owing to the excellent characteristics of PSO, some scholars tried to use PSO to generate initial centres for the K ‐means algorithm [18–21]. Esmin et al considered the problem of unequal distribution of data in different clusters and improved the fitness function [11, 22].…”
Section: Related Workmentioning
confidence: 99%