Clustering method based on adjacent grid search
A clustering method and grid search technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems that cannot be solved by the rapid increase of algorithm complexity, the clusters cannot be effectively identified, and the algorithm cannot be effectively distinguished.
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[0033] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0034] Such as figure 1 Shown is a flowchart of a clustering method based on the adjacent grid search strategy of the present invention. Specifically include the following steps:
[0035] First, the original data is divided into grids, that is, the original data set is divided into a limited number of grid units (hereinafter referred to as cells) by using a multi-dimensional spatial grid, and it is assumed that the data points in the same cell belong to the same cluster; By setting up the three attributes of each cell's membership, density, and position, the statistical analysis of the cell is realized; the noise threshold is used to detect the grid, to determine whether there is noise data in the data set, and to perform necessary denoising processing.
[0036] The multidimensional space in this step is a d-dimensional spa...
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