A Survey Paper on Recent Clustering Approaches in Data Mining

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
A significant issue of data mining task is fast retrieval of the relevant information from databases. The important goal of data mining process is to collect the information from large dataset and then transform that data into some meaningful manner. Clustering is one of the most essential task in data mining. A clustering algorithm partition a data set into several groups so that data objects that share some kind of similarity can be placed and one group and the data objects that are dissimilar can be placed into different group. In this paper presents a survey about recent clustering algorithm that are K-Means, Kohenen SOM, and HCA. The main objective of this paper is to discover detailed concepts and techniques related with clustering.
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