针对高属性维稀疏数据聚类问题，提出高属性维稀疏信息系统概念，给出一种新的基于稀疏特征差异度的动态抽象聚类方法。
The concepts of high attribute dimensional information system are firstly proposed, and a new dynamic clustering method on the basis of sparse feature difference degree is presented.
受会计信息系统内外不确定性因素的影响，作为显信息的会计信息与企业资金运动的价值方面的潜信息相比，必然存在一定的差异。
Compared accounting information with enterprise fund value information, certain difference exists, for there being various uncertain factors in the accounting information system.
地籍信息系统的宗地合并操作时常会失效，其原因是实际测量的宗地图形与系统要求的理想化宗地图形有一定的差异。
Sometimes the operation of merging parcel in cadastral information systems may become invalidation, since there are some gaps between surveyed parcel graph and idealization graph.
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