k-ATTRACTORS: A PARTITIONAL CLUSTERING ALGORITHM FOR NUMERIC DATA ANALYSIS

Clustering is a data analysis technique, particularly useful when there are many dimensions and little prior information about the data. Partitional clustering algorithms are efficient but suffer from sensitivity to the initial partition and noise. We propose here k-attractors, a partitional cluster...

Celý popis

Podrobná bibliografia

Vydané v:	Applied artificial intelligence Ročník 25; číslo 2; s. 97 - 115
Hlavní autori:	Kanellopoulos, Y., Antonellis, P., Tjortjis, C., Makris, C., Tsirakis, N.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis Group 28.02.2011 Taylor & Francis Ltd
Predmet:	Acceptability Accuracy Algorithms Artificial intelligence Cluster analysis Clustering Clusters Convergence Data analysis Data processing Expert systems Mathematical models Numerical analysis Preprocessing
ISSN:	0883-9514, 1087-6545
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!