Gaussian Kernel Fuzzy C-Means Algorithm for Service Resource Allocation

المؤلفون المشاركون

Fang, Xi
Ding, Jianmei
Jiang, Wei

المصدر

Scientific Programming

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-12-19

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

الرياضيات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1209314