How much can k-means be improved by using better initialization and repeats?

Title
How much can k-means be improved by using better initialization and repeats?
Authors
Keywords
Clustering algorithms, K-means, Initialization, Clustering accuracy, Prototype selection
Journal
PATTERN RECOGNITION
Volume 93, Issue -, Pages 95-112
Publisher
Elsevier BV
Online
2019-04-16
DOI
10.1016/j.patcog.2019.04.014

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started