Paper Title:
The Judgment Method Based on F-Test for the Best Clustering Scheme of Self-Organizing
  Abstract

To avoid the optional and uncertainty when judge self-organization clustering results, we have introduced the F-test method what have used in mathematical statistics. The method calculat and compares inner-class distance and inter-class distance respectively what from various clustering schemes, and then get the best clustering scheme through the F-test analysis. The experiment results show that the method is athematically proved rigorously, program operation is stable and reliable, and with larger value both in theoretical research and engineering application.

  Info
Periodical
Edited by
Jerry Tian
Pages
366-370
DOI
10.4028/www.scientific.net/AMR.304.366
Citation
D. S. Zhang, C. Ji, "The Judgment Method Based on F-Test for the Best Clustering Scheme of Self-Organizing", Advanced Materials Research, Vol. 304, pp. 366-370, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Hong Fei Li, Fu Ling Wang, Shi Jue Zheng, Li Gao
Abstract:The fuzzy clustering algorithm is sensitive to the m value and the degree of membership. Because of the deficiencies of traditional FCM...
545
Authors: Yin Sheng Zhang, Hui Lin Shan, Jia Qiang Li, Jie Zhou
Chapter 8: Nanomaterials and Nanomanufacturing
Abstract:The traditional K-means clustering algorithm prematurely plunges into a local optimum because of sensitive selection of the initial cluster...
1977
Authors: Su Qun Cao, Xiao Ming Zuo, Ai Xiang Tao, Jun Min Wang, Xiang Zhi Chen
Chapter 3: Manufacturing Engineering
Abstract:In recent years, machine learning techniques have been widely used in intelligent fault diagnosis field. As a major unsupervised learning...
1628
Authors: Yan Jun Cui, Yan Dong Ma, Jie Li, Zheng Zhao
Chapter 11: Artificial Intelligence
Abstract:A new algorithm for training radial basis function neural network (RBFNN) is presented in this paper. This algorithm is based on the dynamic...
1593
Authors: Yang Pan, An Hua Chen, Ling Li Jiang
Chapter 3: Mechanical Transmission, Vibration and Noise
Abstract:According to the selection difficulties of initial clustering center of k-means clustering algorithm, this paper proposes a method that is to...
250