Please use this identifier to cite or link to this item:
http://nopr.niscpr.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. |
| Page(s): | 594-600 |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Appears in Collections: | JSIR Vol.71(09) [September 2012] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 71(9) 594-600.pdf | 33.69 kB | Adobe PDF | View/Open |
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