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Classes and clusters in data analysis
Institution:1. School of Electronics and Computer Science, University of Southampton, SO7 1BJ, UK;2. Department of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran;1. The University of the South Pacific, Fiji;2. University of Iowa, USA;3. Massey University, New Zealand;4. IIIS, Griffith University, Australia;5. RIKEN, Japan
Abstract:We discuss the relation between classes and clusters in datasets with given classes. We examine the distribution of classes within obtained clusters, using different clustering methods which are based on different techniques. We also study the structure of the obtained clusters. One of the main conclusions, obtained in this research is that the notion purity cannot be always used for evaluation of accuracy of clustering techniques.
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