Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Clustering is one of the widely using data mining techniques that are used to place data elements into allied groups of "Similar behavior". The conventional clustering algorithm called K-Means algorithm has some well-known problems, i.e., it does not work properly on clusters with not well defined centers, it is difficult to choose the number of clusters to construct different initial centers can lead to different resultant clusters. Now-a-days, spectral clustering is becoming popular and widely used since its results overcomes the outcomes of the k-means algorithm.