KNN Algorithm of Enhanced Clustering Based on Density Canopy and Deep Feature

KNN Algorithm of Enhanced Clustering Based on Density Canopy and Deep Feature

As the most widely used supervised classification algorithm, K nearest neighbor (KNN) algorithm is often inefficient in the processing of large-scale and multidimensional data. Therefore, an improved KNN algorithm for high dimensional large data processing is proposed. Firstly, deep neural networks...

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Bibliographic Details
Main Author: SHEN Xueli, QIN Xinyu
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-07-01
Series:Jisuanji kexue yu tansuo
Subjects:
k nearest neighbor (knn)
density canopy
enhanced clustering
deep neural networks (dnn)
approxi-mate similarity search (ass)
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2798.shtml

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