Vol. 3 Issue 2
Year: 2015
Issue:Jun-Aug
Title:Investigation of Validity Metrics for Modified K-Means Clustering Algorithm
Author Name:S. Govinda Rao and A. Govardhan
Synopsis:
Clustering analysis is used to partition data set based on objects within a group and the clustering results are influenced by choice of distance measure and the clustering algorithm. Clustering analysis has been applied to group of author's hindex and g-index with similar or dissimilar features. Validity measure is calculated to determine which is the best clustering by finding the minimum value for our measure. In this paper, the authors have presented the effective validations possible with Davies-Bouldin index, Silhouette index and quantization error
Year: 2015
Issue:Jun-Aug
Title:Investigation of Validity Metrics for Modified K-Means Clustering Algorithm
Author Name:S. Govinda Rao and A. Govardhan
Synopsis:
Clustering analysis is used to partition data set based on objects within a group and the clustering results are influenced by choice of distance measure and the clustering algorithm. Clustering analysis has been applied to group of author's hindex and g-index with similar or dissimilar features. Validity measure is calculated to determine which is the best clustering by finding the minimum value for our measure. In this paper, the authors have presented the effective validations possible with Davies-Bouldin index, Silhouette index and quantization error
No comments:
Post a Comment