搜索资源列表
KLFDA
- Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
hdda_toolbox_1.1
- The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Reference: C. Bouveyron, S. Girard
www
- 一本将基于近邻传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助-Abstract: A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP is an efficient a
supervised-LLE-S-isomap
- 线性降维算法的各种论文 包括监督非监督 LLE ISOMAP ROBUST 等-Linear dimensionality reduction algorithms include overseeing various papers unsupervised LLE ISOMAP ROBUST etc.
supervised-classifation
- 监督非监督分类算法的c++代码。适合写算法人士查阅-supervise classification unsupervise classification
Farmland-small-map
- 农田多标记小图，可以用以极化SAR分解和半监督极化SAR分类。-Farmland multi-label small map, can be used to polarimetric SAR polarimetric SAR decomposition and semi-supervised classification
Bayesguji
- 用监督参数估计中的贝叶斯方法估计条件概率密度的参数u-Parameter estimation of conditional probability density using Bayesian methods in supervised parameter estimation u
DNN_toolbox
- This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs). This toolbox is composed by Jitong Chen, based on an earlier version written by Yuxuan Wang. The toolbox is further improved by Yuz