Gaussian Kernel Fuzzy C-Means Algorithm for Service Resource Allocation
Joint Authors
Fang, Xi
Ding, Jianmei
Jiang, Wei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-19
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
With respect to the cluster problem of the evaluation information of mass customers in service management, a cluster algorithm of new Gaussian kernel FCM (fuzzy C-means) is proposed based on the idea of FCM.
First, the paper defines a Euclidean distance formula between two data points and makes them cluster adaptively based on the distance classification approach and nearest neighbors in deleting relative data.
Second, the defects of the FCM algorithm are analyzed, and a solution algorithm is designed based on the dual goals of obtaining a short distance between whole classes and long distances between different classes.
Finally, an example is given to illustrate the results compared with the existing FCM algorithm.
American Psychological Association (APA)
Jiang, Wei& Fang, Xi& Ding, Jianmei. 2020. Gaussian Kernel Fuzzy C-Means Algorithm for Service Resource Allocation. Scientific Programming،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1209314
Modern Language Association (MLA)
Jiang, Wei…[et al.]. Gaussian Kernel Fuzzy C-Means Algorithm for Service Resource Allocation. Scientific Programming No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1209314
American Medical Association (AMA)
Jiang, Wei& Fang, Xi& Ding, Jianmei. Gaussian Kernel Fuzzy C-Means Algorithm for Service Resource Allocation. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1209314
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209314