Principle Component Analysis From Multiple Data Representation
نویسندگان
چکیده
For improving accuracy and increasing efficiency of classifier, there are available many effective techniques. One of them combining multiple classifier technique is used for this purpose. In this paper I present a novel approach to a combining algorithm designed to improve the accuracy of principle component classifier. This novel approach combines multiple PCA classifiers, each of using a subset of feature. In contrast other combining algorithms usually manipulate the
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