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Introduction to Pattern Recognition: A Matlab Approach
book

Introduction to Pattern Recognition: A Matlab Approach

by Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras
March 2010
Intermediate to advanced
150 pages
7h 13m
English
Academic Press
Content preview from Introduction to Pattern Recognition: A Matlab Approach
160 CHAPTER 7 Clustering
Both are “sensible,” in the sense that the vectors close to each other are included in the same cluster.
However, there is no extra data information to indicate which should be finally selected. In general, the
best approach when dealing with clustering problems is to consult an expert in the field of application.
Another possibility would be the clustering
3
={{x
1
, x
7
},{x
3
, x
4
},{x
5
, x
6
, x
2
}}, but this is not
sensible since grouping x
1
and x
7
, which are far from each other, seems to contradict physical reasoning.
The same holds true for clustering x
2
together with x
5
, x
6
.
Remarks
The previous definition of clustering is a loose ...
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Publisher Resources

ISBN: 9780123744869