TY  - CONF
ID  - scholars2568
TI  - Breast cancer classification using cluster k-nearest neighbor
SN  - 0094243X
Y1  - 2012///
A1  - Samir, B.B.
A1  - Al-Absi, H.R.H.
A1  - Kassoul, K.
EP  - 385
N1  - cited By 1; Conference of 2nd International Conference on Fundamental and Applied Sciences 2012, ICFAS 2012 ; Conference Date: 12 June 2012 Through 14 June 2012
SP  - 382
N2  - Breast cancer is the leading cause of deaths among women. To reduce the number of deaths, early diagnosis and treatment have been pointed at as the most reliable approach. This paper introduces the application of cluster-knearest neighbor for breast cancer diagnosis. First, we apply wavelet transform to extract features. Feature selection is applied to select the most relevant features out of the huge number of coefficients that are extracted. After that, we apply the cluster-k-nearest neighbor classifier for classification. © 2012 American Institute of Physics.
VL  - 1482
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874153544&doi=10.1063%2f1.4757499&partnerID=40&md5=ad6a5d4d134ab2eb31f1255d872e583a
CY  - Kuala Lumpur
AV  - none
ER  -