SCAD algorithm and its application in analyse of bank loan↑

Feature weighting can be considered an extension of feature selection. Traditional methods of feature weighting assume that feature relevance is invariant over the task´s domain. As a result, they learn a single set of weight for the entire data set. In this paper, a proposed algorithm has been used, which is called simultaneous clustering and attribute discrimination (SCAD) and performs clustering and feature weighting simultaneously. First, the algorithm is analyzed in detail, on this basis, through a series of compare experiments, confirms this algorithm to have the high clustering precision; Finally, the algorithm is applied in the analyzing of the bank loan repaid information, that can efficiently discover the weight association of the main factors in loan information and realize potential customer.