A Survey on Clustering Methods and Algorithms

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Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Clustering is a technique of data mining. It aims at finding natural partitioning of data. Objects are grouped depending on the similar nature they share. Similarity is measured depending on various parameters like number of parameters which are in common or lowest allowed difference between any parameters of an object. Data mining techniques include classification, clustering, mining frequent pattern, and correlation. Out of all these, in few decades clustering has gain wide attention of researchers. Clustering involves grouping of data objects which are similar in nature.
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