A Multicriteria Decision Making Approach for Estimating the Number of Clusters in a Data Set

Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis. Since this task involves more than one criterion, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper proposes a multiple criteria decision making (MCDM)-based app...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	PloS one Ročník 7; číslo 7; s. e41713
Hlavní autoři:	Peng, Yi, Zhang, Yong, Kou, Gang, Shi, Yong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 27.07.2012 Public Library of Science (PLoS)
Témata:	Algorithms Analysis Artificial Intelligence Breast cancer Cluster Analysis Clustering Clusters Computer Science Data mining Datasets Decision Making Engineering Estimation Forensic sciences Information technology Knowledge discovery Learning algorithms Linear programming Localization Machine learning Mathematics Methods Multiple criterion Social and Behavioral Sciences Studies Validity China
ISSN:	1932-6203, 1932-6203
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!