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.
|Number of pages||7|
|Journal||Journal of Scientific and Industrial Research|
|Publication status||Published - Sept 2012|
- K-mean clustering
- Mixed datasets
ASJC Scopus subject areas