>>>>> "Francisco" == Francisco Junior <fnj at
cin.ufpe.br>
>>>>> on Fri, 10 Jan 2003 10:37:02 -0300 (BRST) writes:
Francisco> Hello,
Francisco> Someone use this package?
(I hope, it's a recommended package for a reason).
Francisco> I would like to know if this package has some method to
classify
Francisco> images?
you mean "cluster" or "classify" ?
For many of us "classify" is `supervised' where as
"clustering" is `unsupervised'.
If the second:
- About how many clusters do you want?
- about how many images do you have?
- what's their format?
In (supervised) classification, this has been quite a hot topic.
In any case, many things depend on your goal and data.
For clustering, you have to think about a (dis)similarity
measure between images. There are *many* possibilities and that
measure will be crucial. I've heard of situations where only
the color distribution histogram was used of each image (and
similarity ~= some kind correlation).
You should also read a bit about cluster analysis in a
textbook (on "clustering" or "multivariate analysis").
For the cluster package, the obvious textbook is
Kaufman & Rousseeuw (1990).
help(agnes) has a "BACKGROUND" and "References" section.
Francisco> Tks,
yrwlcm,
Martin Maechler <maechler at stat.math.ethz.ch>
http://stat.ethz.ch/~maechler/
Seminar fuer Statistik, ETH-Zentrum LEO C16 Leonhardstr. 27
ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND
phone: x-41-1-632-3408 fax: ...-1228 <><