Báo Cáo A new clasifier method using the robbins-monro stochastic approximation algorithm

ABSTRACT
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This paper presents a new data classification method using the Robbins-Monro stochastic
approximation algorithm, k-nearest neighbor algorithm and probability analysis. The centroid of the
test data set is decided by k-nearest neighbor algorithm and Robbins-Monro stochastic approximation
algorithm. To decide the members of each class, the probability analysis is applied on the basis of the
decided centroid point in data set. The proposed classification method is compared to the conventional
fuzzy c-mean method, k-nn algorithm and discriminant analysis algorithm. The results show that the
proposed method is more accurate than fuzzy c-mean method, k-means algorithm and discriminant
analysis algorithm.

Keywords: data classification, Robbins-Monro stochastic approximation algorithm, distribution
analysis.