Automatic clustering based on Crow Search Algorithm-Kmeans (CSA-Kmeans) and Data Envelopment Analysis (DEA)

Automatic clustering based on Crow Search Algorithm-Kmeans (CSA-Kmeans) and Data Envelopment Analysis (DEA)

Cluster Validity Indices (CVI) evaluate the efficiency of a clustering algorithm and Data Envelopment Analysis (DEA) evaluate the efficiency of Decision-Making Units (DMUs) using a number of inputs data and outputs data. Combination of the CVI and DEA inspired the development of a new automatic clus...

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Bibliographic Details
Main Authors: Alireza Balavand, Ali Husseinzadeh Kashan, Abbas Saghaei
Format: Article
Language:English
Published: Springer 2018-01-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Automatic Clustering
K-Means
Crow Search Optimization Algorithm
Cluster Validity Indices
Data Envelopment Analysis
Online Access:https://www.atlantis-press.com/article/25902769/view

Internet

https://www.atlantis-press.com/article/25902769/view

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