Mixing attribute data flow cluster method based on reinforcement cluster edge detection of grid
A data stream clustering and edge detection technology, applied in instruments, character and pattern recognition, computer parts, etc., can solve problems such as low clustering quality and poor ability to handle edge grids
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[0067] The present invention will be further described below in conjunction with the drawings.
[0068] Reference Figure 1 ~ Figure 4 , A grid-based clustering method of mixed attribute data stream with enhanced clustering edge detection, the clustering method includes the following steps:
[0069] 1) Grid preprocessing process: Evolutionary division of the d-dimensional data space where the data object is located. Since the mixed attributes include numerical attributes and sub-type attributes, each dimension of numerical data is divided into P according to the size of the grid granularity. In addition, the data of each dimension of the sub-type is divided according to the number of possible values in its domain. The data space is divided into a number of disjoint hypercubes, and each rectangular grid unit can be described as S 1,j1 ×S 2,j2 ×...×S d,jd . Where attribute S i , ii Expressed in S i The interval obtained on this dimension.
[0070] 2) Online grid maintenance proces...
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