资源列表
xyle
- 拉普拉斯降维方法，是非线性数据降维方法，通过构建相似关系图来重构数据局部流形结构特征。-Laplace dimension reduction method is non-linear data dimensionality reduction method, by constructing a graph similar to reconstruct the structure of local manifoldof the data.
pythonsrc
- 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
LapLDA
- 利用LapLDA进行初始化，预测出无标签数据XU的类别信息，这样所有的训练样本都有类别了。 为样本 的软类别标签，软类别标签中最大的问题对应其具体类别。 LapLDA可用基于原始数据的LLE-style reconstruction weights -LLE-style reconstruction weights
non-conv-regul
- 西安交通大学徐宗本院士的ppt，关于稀疏优化理论以及L1/2正则化的研究与应用-Xi an Jiaotong University, Academician Xu Zongben ppt, on sparse optimization theory and L1/2 regularization Research and Application
CodeGPCAPDASpectral
- 广义主成分聚类，用于高维数据降维聚类分析，比主成分分析更好一点-Generalized principal component clustering analysis is used to reduce the dimension of high-dimensional data, which is better than the principal component analysis.
LPP
- 基于matlab编程，用于人脸识别的LPP代码。-Based on the matlab programming, LPP code for face recognition.
e1071_1.6-7
- R packages in data mining
pca-hmmP
- 利用HMM算法来预测回转窑的喂煤量,以辅助工业现场的判断-Use HMM algorithm to predict the kiln feed coal to assist the industrial field judge
MultKmeans
- 改进的K-means聚类算法。用于处理空间聚类问题。-The improved K means clustering algorithm.To deal with spatial clustering problem.
pmf
- 推荐系统 概率矩阵分解代码 内部已包含有数据集，已分为训练集与测试集-Recommended system probability matrix decomposition Code
beta-react-to-market-conditions
- The response of beta to market reactions in us stock markets
mani
- 一个流形学习的GUI，可以直接运行，里面包含八种流形学习算法-MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota