Re: Revisited Fuzzy clustering

Thomas Runkler (runkler@mchp.siemens.de)
Sat, 6 Nov 1999 00:07:12 +0100 (MET)

Tell Me JD <tellmejd@hotmail.com> wrote:

: I am a newbie in fuzzy. What I know is fuzzy method can solve the following
: problem but I do not know how. Please help me out about what kind of book
: or algorithm I can read and use.

: I have a very similar problem with PPC who sent a mail to fuzzy mail list.
: I have x-y coordinate, name, size and age of each tree.
: My question is if trees of the same name and age live clustered...how much
: they are clustered or if trees of the similar size are clustered..

: How can I solve my problem?

The Hopkins index helps you to find out whether or not your data are
clustered, and cluster validity measures help you to determine the
underlying cluster structure. For more information see these books

J. C. Bezdek: Pattern Recognition with Fuzzy Objective Function Algorithms.
Plenum 1981

A. K. Jain and R. C. Dubes: Algorithms for Clustering Data. Prentice
Hall 1988

F. Hoeppner, F. Klawonn, R. Kruse, T. Runkler: Fuzzy Cluster Analysis -
Methods for Image Recognition, Classification, and Data Analysis. Wiley 1999.

Best regards

Thomas

-------------------------------------------------------------------------
Thomas A. Runkler Phone ++49 89 636 45372
Siemens Corporate Technology Fax ++49 89 636 45456
81730 Munich, Germany Email Thomas.Runkler@mchp.siemens.de
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