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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| Format: | Article |
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Universiti Kebangsaan Malaysia
1979
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| Online Access: | http://journalarticle.ukm.my/4099/ |
| _version_ | 1848810403895705600 |
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| author | Sharifah Mastura Syed Abdullah, |
| author_facet | Sharifah Mastura Syed Abdullah, |
| author_sort | Sharifah Mastura Syed Abdullah, |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T23:29:58Z |
| format | Article |
| id | oai:generic.eprints.org:4099 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T23:29:58Z |
| publishDate | 1979 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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 |
| spellingShingle | Sharifah Mastura Syed Abdullah, An assessment of numerical classificatory methods for geography. |
| title | 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_short | An assessment of numerical classificatory methods for geography. |
| title_sort | assessment of numerical classificatory methods for geography. |
| url | http://journalarticle.ukm.my/4099/ http://journalarticle.ukm.my/4099/ |