Compare Process of Some Clustering Algorithms of Data Mining

Provided by: Seek Digital Library
Topic: Data Management
Format: PDF
Data mining is a multi-disciplinary field which uses the three main scientific components: statistics, machine learning, artificial intelligence and database technology. This paper is to create a process that compares time response of some clustering algorithms in data mining, the subset of this experimentation is a data set stored in Teradata. In this paper, the authors present a novel hierarchical clustering algorithm called Chameleon that measures the similarity of two clusters based on a dynamic model. They present also k Means as representative of partitioned ones, and DBSCAN as part of density based.

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