International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Implementation And Analysis Of K- Means And Fuzzy C Means Clustering Techniques
Breast cancer is the second most common cause of cancer death in women. Mammography is the best available
technique used for earlier detection. Mammography is a special case of CT scan who adopts X-ray method & uses the high
resolution film so that it can detect well the tumors in the breast. Mammographic mass detection is an important task for the
early diagnosis of breast cancer. However, it is difficult to distinguish masses from normal regions because of their abundant
morphological characteristics and ambiguous margins. In the proposed work breast tumor detection and class of image is
obtained by using fuzzy K-means & fuzzy C-means clustering technique is proposed. K Means algorithm is Centroid Based
and Fuzzy C Means is Representative Object Based. These two algorithms are to be implemented and the performance is to
be analyzed based on their clustering result quality.
Keywords- Breast Cancer, Mammograms, Clustering Technique, Fuzzy C means (FCM), Fuzzy K Means (FKM).
Author - Snehali D. Sable, Alpana Deshmukh
Citation - Snehali D. Sable ,
Alpana Deshmukh ,
Snehali D. Sable, Alpana Deshmukh " Implementation And Analysis Of K- Means And Fuzzy C Means Clustering Techniques " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-3, Issue-6 ( Jun, 2015 )