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Found 2 papers, 1 papers with code
Attribute reduction algorithm of rough sets based on spatial optimization
Rough set is one of the important methods for rule acquisition and attribute reduction.
A new distance measurement and its application in K-Means Algorithm
On the classical manifold learning datasets, S-curve and Swiss roll datasets, not only this new distance can cluster the data according to the structure of the data itself, but also the boundaries between categories are neat dividing lines.
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