High-dimensional data subspace clustering projection effect optimization method based on dimension reconstitution
A projection effect and optimization method technology, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problem of unsatisfactory projection effect of high-dimensional data subspace
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[0047] In order to make the purpose, design ideas and advantages of the present invention clearer, the following section will further describe the present invention in detail in conjunction with specific examples and with reference to the accompanying drawings.
[0048] The present invention provides a high-dimensional data subspace clustering projection effect optimization method based on dimensional reconstruction, such as figure 1 As shown, it includes five main steps: Step 1): Explore the dimensional subspace: select the target optimal dimensional subspace with poor cluster structure information from the original data set, that is, the two-dimensional projection effect is poor, as well as several cluster structures with good cluster structure The information is the dimensional subspace with better projection effect; step 2): Construct the reconstructed dimension set: according to the several dimensional subspaces with good clustering obtained in step 1), project its data ob...
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