搜索资源列表
KLPP
- 核lpp（局部保持映射）的降维方法。跟Xiaofei He的论文配套-Nuclear lpp (partial maintain mapping) methods of dimensionality reduction. Xiaofei He told the paper supporting
KLPP
- 这是一个kernel lpp流行学习算法（Kernel Locality Preserving Projections），-Kernel Locality Preserving Projections for manifold usingmatlab
dim_reduction
- matlab dim_reduction 包括 dijkstra\KDA\KGE\LPP\KLPP\KPCA\SDA等-matlab dim_reduction includingdijkstra\KDA\KGE\LPP\KLPP\KPCA\SDA etc.
LGEandKGEandOLGEandKPCAandKLPP
- 一系列降维算法，包括LGE,KGE,KLPP,OLEG,KPCA，将高维空间的数据降低的低维，主要用来进行人脸识别以等方面的特征提取,总共5个算法。-isometric projection to feature extraction
dimen-reduc
- 用于图像或者信号高维特征的降维程序，包含KLPP,OLPP和PCA等程度-for dimensionality reduction
KLPP_PCAalgrithm
- 此算法是基于KLPP与PCA的数据的降维的方法，可用于图像处理和故障诊断等需要降维的应用中。-This algorithm can be used for dimentionality of data,
KLPP
- KLPP: Kernel Locality Preserving Projections
KLPP
- 核局部邻域嵌入算法是一类流形学习算法，可用于数据的降维(Kernel local neighborhood embedding algorithm is a manifold learning algorithm, which can be used to reduce the dimensionality of data)