The invention relates to a human body physique clustering method based on a factor analysis and a probabilistic neural network. The method comprises the following steps of collecting static human bodynet body data and constructing a human body database; determining 27 basic variables according to the actual and research needs of the clothing industry; using the factor analysis to reduce the dimensionality of the 27 basic variables, and according to the cumulative contribution rate of principal components, extracting the factor scores of the top N principal components with contribution rate greater than 80%; constructing a probabilistic neural network model of human body physique clustering, wherein the factor scores of the top N principal components is an input layer, and an output layeris the category code of a human body physique; clustering the human body physique based on the factor scores and the probabilistic neural network. The method can directly and effectively classify human body physiques.