Adaptive mixtures: Recursive nonparametric pattern recognition
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摘要
We develop a method of performing pattern recognition (discrimination and classification) using a recursive technique derived from mixture models, kernel estimation and stochastic approximation.
论文关键词：Unsupervised learning,Density estimation,Kernel estimator,Mixture model,Stochastic approximation,Recursive estimation
论文评审过程：Received 31 August 1990, Revised 14 May 1991, Accepted 22 May 1991, Available online 19 May 2003.
论文官网地址：https://doi.org/10.1016/0031-3203(91)90145-U
