An assessment of numerical classificatory methods for geography.

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 t...

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Main Author: Sharifah Mastura Syed Abdullah,
Format: Article
Published: Universiti Kebangsaan Malaysia 1979
Online Access:http://journalarticle.ukm.my/4099/
http://pkukmweb.ukm.my/penerbit/jdem15-6.htm
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spelling my-ukm.journal.40992012-04-04T01:54:02Z http://journalarticle.ukm.my/4099/ An assessment of numerical classificatory methods for geography. Sharifah Mastura Syed Abdullah, 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. Universiti Kebangsaan Malaysia 1979 Article PeerReviewed Sharifah Mastura Syed Abdullah, (1979) An assessment of numerical classificatory methods for geography. AKADEMIKA, 15 . pp. 57-66. ISSN 0126-5008 http://pkukmweb.ukm.my/penerbit/jdem15-6.htm
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
description 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.
format Article
author Sharifah Mastura Syed Abdullah,
spellingShingle Sharifah Mastura Syed Abdullah,
An assessment of numerical classificatory methods for geography.
author_facet Sharifah Mastura Syed Abdullah,
author_sort Sharifah Mastura Syed Abdullah,
title An assessment of numerical classificatory methods for geography.
title_short An assessment of numerical classificatory methods for geography.
title_full An assessment of numerical classificatory methods for geography.
title_fullStr An assessment of numerical classificatory methods for geography.
title_full_unstemmed An assessment of numerical classificatory methods for geography.
title_sort assessment of numerical classificatory methods for geography.
publisher Universiti Kebangsaan Malaysia
publishDate 1979
url http://journalarticle.ukm.my/4099/
http://pkukmweb.ukm.my/penerbit/jdem15-6.htm
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score 13.188404