Integrating cluster validity indices based on data envelopment analysis
Because clustering is an unsupervised learning task, a number of different validity indices
have been proposed to measure the quality of the clustering results. However, there is no …
have been proposed to measure the quality of the clustering results. However, there is no …
Integrating cluster validity indices based on data envelopment analysis
B Kim, H Lee, P Kang - 2018 - dl.acm.org
Because clustering is an unsupervised learning task, a number of different validity indices
have been proposed to measure the quality of the clustering results. However, there is no …
have been proposed to measure the quality of the clustering results. However, there is no …
Integrating cluster validity indices based on data envelopment analysis
B Kim, H Lee, P Kang - Applied Soft Computing Journal, 2018 - pure.korea.ac.kr
Because clustering is an unsupervised learning task, a number of different validity indices
have been proposed to measure the quality of the clustering results. However, there is no …
have been proposed to measure the quality of the clustering results. However, there is no …
Integrating cluster validity indices based on data envelopment analysis
B Kim, H Lee, P Kang - APPLIED SOFT COMPUTING, 2018 - scholar.korea.ac.kr
Because clustering is an unsupervised learning task, a number of different validity indices
have been proposed to measure the quality of the clustering results. However, there is no …
have been proposed to measure the quality of the clustering results. However, there is no …