A Discriminate Multidimensional Mapping for Small Sample Database∗
نویسندگان
چکیده
In this paper, we develop a new feature extraction method, called discriminate multidimensional mapping (DMM), which is especially effective for small sample database. The algorithm takes advantages of MDS and LDA, meanwhile avoids their disadvantages. We give theoretical analysis of this algorithm, and demonstrate with examples that DMM is effective in practical use.
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