关键词: 粗糙集, 离散化, 谱系聚类, 类平均距离, SAS

Abstract: A data decentralize method based on statistical analysis is introduced，which is called pedigree cluster method，the data decentralize research，in which the inspection data of wood veneer are taken as the application，has been done and the comparison between pedigree cluster and several other decentralize method are also made.The comparison result shows that the data handled by pedigree cluster will be deleted more redundant attributes and records after rough sets theory reduction，the complexity of the model can be reduced，the knowledge acquisition process can be accelerated and the accurate of classification can be improved.It has been proved in engineering practice that pedigree cluster method is an effective data decentralize method used in preprocessing process，and combing with rough set method a satisfied data mining result can be obtained.

Key words: rough sets, decentralize, pedigree clusters, group average distance, SAS