It proposes a K-means type subspace clustering for supplier categorization to analyze the high dimensional and sparse data,because transaction data of supplier behavior is mass and complicated.

• 针对供应商行为的交易数据最大、表达复杂的特点,提出基于k-均值子空间聚类算法对供应商分类的数据挖掘方法,解决高维和稀疏数据的分析问题,并通过实例验证该方法的准确性和高效性。