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A new approach to clustering
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Wilson, Roland and Spann, M. (1990) A new approach to clustering. Pattern Recognition, Volume 23 (Number 12). pp. 1413-1425. doi:10.1016/0031-3203(90)90087-2 ISSN 0031-3203.
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Official URL: http://dx.doi.org/10.1016/0031-3203(90)90087-2
Abstract
Estimation theory is used to derive a new approach to the clustering problem. The new method is a unification of centroid and mode estimation, achieved by considering the effect of spatial scale on the estimator. The result is a multiresolution method which spans a range of spatial scales, giving enhanced robustness both to noise in the data and to changes of scale in the data, by using comparison between scales as a test of cluster validity. Iterative and non-iterative algorithms based on the new estimator are presented and are shown to be more accurate than simple scale-space filtering in identifying and locating the cluster centres from noisy test data. Results from a wide range of applications are used to illustrate the power and versatility of the new method.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | Pattern Recognition | ||||
Publisher: | Pergamon | ||||
ISSN: | 0031-3203 | ||||
Official Date: | 1990 | ||||
Dates: |
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Volume: | Volume 23 | ||||
Number: | Number 12 | ||||
Page Range: | pp. 1413-1425 | ||||
DOI: | 10.1016/0031-3203(90)90087-2 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Date of first compliant deposit: | 11 December 2015 |
Data sourced from Thomson Reuters' Web of Knowledge
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