An overview of clustering methods in geographic data analysis

Jiawei Han; Jae Gil Lee; Micheline Kamber

doi:10.1201/9781420073980

An overview of clustering methods in geographic data analysis

Jiawei Han, Jae Gil Lee, Micheline Kamber

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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	https://doi.org/10.1201/9781420073980
State	Published - Jan 1 2009

ASJC Scopus subject areas

Computer Science(all)
Engineering(all)
Earth and Planetary Sciences(all)

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An overview of clustering methods in geographic data analysis

Abstract

ASJC Scopus subject areas

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