Title :
An optimized farthest first clustering algorithm
Author :
Sharmila ; Kumar, Manoj
Author_Institution :
Dept. of Comput. Eng., Technol. Inst. of Textile & Sci., Bhiwani, India
Abstract :
Data mining is the process of analyzing data from different viewpoints and summarizing it into useful information. Clustering is the process of grouping of similar objects together. The group of the objects is called the cluster which contains similar objects compared to objects of the other cluster. Different clustering algorithm can be used according to the behavior of data. Farthest first algorithm is suitable for the large dataset but it creates the non-uniform cluster. The paper forms optimization of farthest first algorithm of clustering resulting uniform clusters.
Keywords :
data mining; optimisation; pattern clustering; data mining; farthest first clustering algorithm; nonuniform cluster; optimization; Algorithm design and analysis; Analytical models; Clustering algorithms; Computers; Data mining; Data models; Prediction algorithms; Data mining algorithms; EM algorithm; farthest first algorithm; k-means algorithm etc;
Conference_Titel :
Engineering (NUiCONE), 2013 Nirma University International Conference on
Conference_Location :
Ahmedabad
Print_ISBN :
978-1-4799-0726-7
DOI :
10.1109/NUiCONE.2013.6780070
