Cluster merging based on weighted Mahalanobis distance with application in digital mammography
A new clustering algorithm that uses a weighted Mahalanobis distance as a distance metric to perform partitional clustering is proposed. The covariance matrices of the generated clusters are used to determine cluster similarity and closeness so that clusters which are similar in shape and close in M...
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| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
1998
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/8810/1/Cluster_merging_based_on_weighted_Mahalanobis_distance_with_application_in_digital_mammography.pdf http://eprints.um.edu.my/8810/ http://www.scopus.com/inward/record.url?eid=2-s2.0-0032306128&partnerID=40&md5=abd392ca5b0b1c59a4f056f67ba795c1 http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=710194&tag=1 |
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Internet
http://eprints.um.edu.my/8810/1/Cluster_merging_based_on_weighted_Mahalanobis_distance_with_application_in_digital_mammography.pdfhttp://eprints.um.edu.my/8810/
http://www.scopus.com/inward/record.url?eid=2-s2.0-0032306128&partnerID=40&md5=abd392ca5b0b1c59a4f056f67ba795c1 http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=710194&tag=1