A Survey On Clustering Algorithms

ARTICLE INFO In this work we presented the work related to the clustering using Euclidian distance and mahalanobis distance. The traditional methods used the Euclidian distance for the measuring similarity between the objects from dataset. This approach does not offer the good results in case of increased dimensionality. In this paper we also discussed the… (More)