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On the quality of k-means clustering based on grouped data

✍ Scribed by Meelis Käärik; Kalev Pärna


Book ID
108193352
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
169 KB
Volume
139
Category
Article
ISSN
0378-3758

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This paper intends to propose a novel clustering method, ant K-means (AK) algorithm. AK algorithm modifies the K-means as locating the objects in a cluster with the probability, which is updated by the pheromone, while the rule of updating pheromone is according to total within cluster variance (TWC