A Rough K-Means Clustering Approach Based on Hybrid Genetic Algorithm

Provided by: Binary Information Press
Topic: Data Management
Format: PDF
The data clustering is an important research problem in pattern recognition and data mining and the main objective in cluster analysis is to group objects that are similar in one cluster and separate objects that are dissimilar by assigning them to different clusters. Rough set theory is a machine learning method of representing and reasoning about imprecise and uncertain data. Rough sets theory distinguishes between objects based on the concept of indiscernibility and deals with the approximation of sets by means of binary relations.

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