Abstract
Clustering is the process of grouping a set of physical or abstract objects into classes of similar objects. A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters. Although classication is an effective means for distinguishing groups or classes of objects, it often requires costly collection and labeling of a large set of training tuples or patterns, which the classier uses to model each group. In contrast, clustering does not require such labeling at all.
| Original language | English (US) |
|---|---|
| Title of host publication | Geographic Data Mining and Knowledge Discovery, Second Edition |
| Publisher | CRC Press |
| Pages | 149-188 |
| Number of pages | 40 |
| ISBN (Electronic) | 9781420073980 |
| ISBN (Print) | 9781420073973 |
| DOIs | |
| State | Published - Jan 1 2009 |
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ASJC Scopus subject areas
- Computer Science(all)
- Engineering(all)
- Earth and Planetary Sciences(all)
Cite this
An overview of clustering methods in geographic data analysis. / Han, Jiawei; Lee, Jae Gil; Kamber, Micheline.
Geographic Data Mining and Knowledge Discovery, Second Edition. CRC Press, 2009. p. 149-188.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - An overview of clustering methods in geographic data analysis
AU - Han, Jiawei
AU - Lee, Jae Gil
AU - Kamber, Micheline
PY - 2009/1/1
Y1 - 2009/1/1
N2 - Clustering is the process of grouping a set of physical or abstract objects into classes of similar objects. A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters. Although classication is an effective means for distinguishing groups or classes of objects, it often requires costly collection and labeling of a large set of training tuples or patterns, which the classier uses to model each group. In contrast, clustering does not require such labeling at all.
AB - Clustering is the process of grouping a set of physical or abstract objects into classes of similar objects. A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters. Although classication is an effective means for distinguishing groups or classes of objects, it often requires costly collection and labeling of a large set of training tuples or patterns, which the classier uses to model each group. In contrast, clustering does not require such labeling at all.
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UR - http://www.scopus.com/inward/citedby.url?scp=84938353292&partnerID=8YFLogxK
U2 - 10.1201/9781420073980
DO - 10.1201/9781420073980
M3 - Chapter
AN - SCOPUS:84938353292
SN - 9781420073973
SP - 149
EP - 188
BT - Geographic Data Mining and Knowledge Discovery, Second Edition
PB - CRC Press
ER -