A Survey on Various Clustering Techniques with K-means Clustering Algorithm in Detail

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. Key Terms: Clustering; types; Froggy Algorithm; k-means; algo Full Text: http://www.ijcsmc.com/docs/papers/April2013/V2I4201361.pdf