An integrated feature selection and cluster analysis techniques for case-based reasoning
A hybrid CBR system combined with feature selection and cluster analysis is proposed. Reduction approach is introduced in feature selection to reduce redundant features. Cluster analysis algorithm is presented in case organization to partition initial case base into small subsets for further retrieval. A computer-aided platform is developed based on the proposed method.
feature selection cluster analysis case-based reasoning case organization