A Review on Various Approaches of Clustering For Set of Instances in Data Mining
- Author Sapna Mittal
- DOI
- Country : India
- Subject : Computer Science
Keywords : Data Mining, Clustering, K Mean Clustering, Honey Bee, Firefl, Ward
Abstract
Data mining is the process of extraction of various types of information from different types of dataset that contains various types of attributes. is an approach that divides the whole information into different clusters. After processing of division of data values into different clusters centeroid have been computed. Cluster centeroid has been done on the basis of distance from other cluster members available in the particular clusters. The main problem in the clustering for data mining process is that text mining contains different problem for division of the text dataset into different cluster. Sometimes in the process of clustering by default empty cluster has been developed. To overcome this issue K-mean clustering has been used with hybridization of K-mediod algorithm.
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