模糊核聚类源码，用matlab编写的，另外还包括一些相应文章-nuclear source, using Matlab prepared, but also including some corresponding article

通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics

匹配追踪和正交匹配追踪，包括AHP，因子分析，回归分析，聚类分析，采用热核构造权重。- Matching Pursuit and orthogonal matching pursuit, Including AHP, factor analysis, regression analysis, cluster analysis, Thermonuclear using weighting factor.