An assessment of numerical classificatory methods for geography.

Sharifah Mastura Syed Abdullah, (1979) An assessment of numerical classificatory methods for geography. AKADEMIKA, 15 . pp. 57-66. ISSN 0126-5008

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Abstract

The development of the multivariate technique has grown parallel with the development and ready availability of digital computers. This paper attempts to assess the usefulness of one of these multivariate techniques, that is, the cluster analysis also commonly known as numerical classification. In this paper, procedures in developing clustering technique are described. As an illustration of this technique, continuous data of various sediments taken from 30 streams are used. Dissimilarity coefficient (the Euclidean distance) is used as measure of similarity and five fusion strategies are selected to produce various results.

Item Type:Article
Journal:AKADEMIKA
ID Code:4099
Deposited By: Mr Fazli Nafiah -
Deposited On:04 Apr 2012 01:54
Last Modified:04 Apr 2012 01:54

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