Bicluster Algorithm and Used in Market Analysis

Abstract

The premise of the enterprise that implements the product family architecture is the analysis to the sailed products history data, carrying on accuracy demarcation of the customer sets and products sets. But, the traditional cluster methods consist in simultaneous one partitioning of the set of products or the set of customers. In this paper we review the most widely used and successful biclustering techniques and use bicluster consist in simultaneous partitioning of the set of products and the set of customers. The bicluster algorithm is discussed. The results of the improved bicluster algorithm used in the product family architecture analysis show that, compared with traditional cluster methods, the quality of clustering results is enhanced obviously, the mining expression models are better, and the data possess a strong consistency with fluctuation on the condition.