relation: https://khub.utp.edu.my/scholars/2568/
title: Breast cancer classification using cluster k-nearest neighbor
creator: Samir, B.B.
creator: Al-Absi, H.R.H.
creator: Kassoul, K.
description: 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.
date: 2012
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Samir, B.B. and Al-Absi, H.R.H. and Kassoul, K.  (2012) Breast cancer classification using cluster k-nearest neighbor.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874153544&doi=10.1063%2f1.4757499&partnerID=40&md5=ad6a5d4d134ab2eb31f1255d872e583a
relation: 10.1063/1.4757499
identifier: 10.1063/1.4757499