Improving the Initial Centroids of k-means Clustering Algorithm to Generalize its Applicability

k-means is one of the most widely used partition based clustering algorithm. But the initial centroids generated randomly by the k-means algorithm cause the algorithm to converge at the local optimum. So to make k-means algorithm globally optimum, the initial centroids must be selected carefully rat...

Celý popis

Podrobná bibliografie

Vydáno v:	Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Ročník 95; číslo 4; s. 345 - 350
Hlavní autoři:	Goyal, M., Kumar, S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	India Springer India 01.12.2014
Témata:	Communications Engineering Engineering Networks Original Contribution Partitional clustering algorithm Clustering Initial centroids k-means algorithm
ISSN:	2250-2106, 2250-2114
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!