DocumentCode
1115145
Title
PFS Clustering Method
Author
Vogel, Mark A. ; Wong, Andrew K.C.
Author_Institution
MEMBER, IEEE, The Analytic Sciences Corporation, Reading, MA 01867.
Issue
3
fYear
1979
fDate
7/1/1979 12:00:00 AM
Firstpage
237
Lastpage
245
Abstract
This paper presents a method of cluster analysis based on a pseudo F-statistic (PFS) criterion function. It is designed to subdivide an ensemble into an optimal set of groups, where the number of groups is not specified and no ad hoc parameters are employed. Univariate and multivariate F-statistic and pseudo F-statistic consistency is displayed. Algorithms for feasible application of PFS are given. Results from simulations are utilized to demonstrate the capabilities of the PFS clustering method and to provide a comparative guide for other users.
Keywords
Clustering algorithms; Clustering methods; Councils; Euclidean distance; Merging; Scattering; System analysis and design; Cluster analysis; Euclidean distance clustering; group separation criteria; hierarchical clustering; pseudo F-statistic; sum of squares within minimization;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1979.4766919
Filename
4766919
Link To Document