One-class support vector machineSparse nonnegative matrix factorizationThe paper presents a method for data classification with ensemble of one-class classifiers based on data segmentation. Each data class is partitioned with the nonnegative matrix factorization (NMF) algorithm with sparse constraints. ...
If None, automatically detect large numpy/scipy.sparse arrays in the object being stored, and store them into separate files. This prevent memory errors for large objects, and also allowsmemory-mappingthe large arrays for efficient loading and sharing the large arrays in RAM between multiple proces...
Time-frequency spectra recog- nition based on sparse non-negative matrix factorization and support vector machine. Acta Automatica Sinica, 2007, 35(10): 1272-1277 (蔡蕾, 朱永生. 基于稀疏性非负矩阵分解和支持向量机的时频图像 识别. 自动化学报, 2007, 35(10): 1272-1277)...
eigenvectoralgorithm 非负不可约矩阵谱半径特征向量数值算法In this paper, a new algorithm for the spectral radius and its associated eigenvector of a nonnegative irreducible matrix is designed. The proof of convergence of the algorithm is also presented. The labor of calculation of this algorithm ...