Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/14628
Title: A study of digital mammograms by using clustering algorithms
Authors: Halawani, S M
Alhaddad, M
Ahmad, A
Keywords: Classification
Clustering
K-mean clustering
Mammograms
Mixed datasets
Probabilistic
Issue Date: Sep-2012
Publisher: NISCAIR-CSIR, India
Abstract: This study presents clustering algorithms to study digital mammograms. Probabilistic clustering algorithms performed better than hierarchical clustering algorithm. Clustering results are competitive with classification results, indicating that clustering algorithms can be used as an important tool to study digital mammograms. Probabilistic clustering algorithms can also be used by radiologists to improve their prediction accuracy.
Description: 594-600
URI: http://hdl.handle.net/123456789/14628
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.71(09) [September 2012]

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