Clustering and pattern classification

Atam P. Dhawan; Shuangshuang Dai

doi:10.1142/9789812814807_0010

Clustering and pattern classification

Atam P. Dhawan, Shuangshuang Dai

Electrical and Computer Engineering

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

5 Scopus citations

Abstract

Clustering is a method to arrange data points into groups or clusters based on a predefined similarity criterion. Classification maps the data points or their representative features into predefined classes to help the interpretation of the input data. There are several methods available for clustering and classification for computeraided diagnostic or decision making systems for medical applications. This chapter reviews some of the clustering and classification methods using deterministic as well as fuzzy approaches for data analysis.

Original language	English (US)
Title of host publication	Principles and Advanced Methods in Medical Imaging and Image Analysis
Publisher	World Scientific Publishing Co.
Pages	229-266
Number of pages	38
ISBN (Electronic)	9789812814807
ISBN (Print)	9789812705341
DOIs	https://doi.org/10.1142/9789812814807_0010
State	Published - Jan 1 2008

All Science Journal Classification (ASJC) codes

Medicine(all)

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10.1142/9789812814807_0010

Cite this

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Clustering and pattern classification

Abstract

All Science Journal Classification (ASJC) codes

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