A comparative study of efficient initialization methods for the k-means clustering algorithm

Title
A comparative study of efficient initialization methods for the k-means clustering algorithm
Authors
Keywords
-
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 40, Issue 1, Pages 200-210
Publisher
Elsevier BV
Online
2012-07-20
DOI
10.1016/j.eswa.2012.07.021

Ask authors/readers for more resources

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search