Compare Process of some clustering algorithms of data Mining

JAMAL, MBARKI and SIDI, YASSER EL JASOULI (2014) Compare Process of some clustering algorithms of data Mining. In: International Conference on Advances in Computing, Communication and Information Technology CCIT 2014, 01 - 02 June,2014, London, UK.

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The aim of this paper is to create a process that compare time response of some clustering algorithms in data Mining , the subset of this experimentation is a data set stored in Teradata . In this paper, we present a novel hierarchical clustering algorithm called CHAMELEON that measures the similarity of two clusters based on a dynamic model. We present also k Means as representative of Partitioned ones, and DBSCAN as part of Density Based.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: component; data mining; Clustering ; response time
Depositing User: Mr. John Steve
Date Deposited: 18 May 2019 12:21
Last Modified: 18 May 2019 12:21

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