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- W2364792200 abstract "When dealing with big data there are two disadvantages of KNN algorithm,this paper proposed multi-differential KNN algorithm,that was,according to class field using the algorithm to stratify the known samples,it avoided errors by traditional algorithm in the sample clipping,and also greatly reduced the invalid amount of computation.While in the last layer adopting the method of differential decisions,rather than classifying directly from the nearest neighbor,which greatly improved the classification accuracy.Experimental results show that on a large sample size,the algorithm can achieve better classification effects when involving more large neighbor fields to classify data samples." @default.
- W2364792200 created "2016-06-24" @default.
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- W2364792200 date "2014-01-01" @default.
- W2364792200 modified "2023-09-26" @default.
- W2364792200 title "Improvements of KNN algorithm for big data classification" @default.
- W2364792200 hasPublicationYear "2014" @default.
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