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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.
Page(s): 594-600
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.71(09) [September 2012]

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