A Survey on Various Clustering Techniques with K-means Clustering Algorithm in Detail?Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.2, No. 4)
Publication Date: 2013-04-15
Authors : Supreet Kaur Usvir Kaur;
Page : 155-159
Keywords : Clustering; types; Froggy Algorithm; k-means; algo;
Clustering is the division of data into groups of similar objects. In clustering, some details are disregarded in exchange for data simplification. Clustering can be viewed as a data modeling technique that provides for concise summaries of the data. Clustering is therefore related to many disciplines and plays an important role in a broad range of applications. The applications of clustering usually deal with large datasets and data with many attributes. Exploration of such data is a subject of data mining. This survey concentrates on clustering algorithms from a data mining perspective with K means Clustering algo.
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Last modified: 2013-05-02 15:24:13