Title
NP-Hardness of balanced minimum sum-of-squares clustering.
Abstract
•We show that k-means clustering under balance constraints is NP-hard for triplets.•We answer an open question about from which cardinality the problem was NP-hard.•The paper adds an important complexity result to the clustering literature.
Year
DOI
Venue
2017
10.1016/j.patrec.2017.05.033
Pattern Recognition Letters
Keywords
Field
DocType
Balanced clustering,Sum-of-squares,Complexity
k-medians clustering,Discrete mathematics,CURE data clustering algorithm,Combinatorics,Complete-linkage clustering,Correlation clustering,Determining the number of clusters in a data set,FLAME clustering,Cluster analysis,Mathematics,Single-linkage clustering
Journal
Volume
Issue
ISSN
97
C
0167-8655
Citations 
PageRank 
References 
2
0.40
5
Authors
3
Name
Order
Citations
PageRank
Artem V. Pyatkin113712.51
Daniel Aloise234424.21
Nenad Mladenovic31882127.14