资源列表
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
e1071_1.6-7
- R packages in data mining
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.
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.
short-distance
- 本程序使用遗传算法实现了最短路径，而且本文代码是matlab代码。-matlab code of ...
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
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
sparse-subspace-clustering
- 关于稀疏子空间聚类的算法程序实现，及对应的论文，matlab源码实现。-On sparse subspace clustering algorithm procedures, and the corresponding paper, matlab source code.
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
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.
MILK
- 用于weka中的多示例学习算法的集成库文件MILK，包含多个多示例学习算法-Integrated library file for weka in the multi-instance learning algorithms MILK, comprising a plurality of multi-instance learning algorithms
Untitled35
- 这是一段关联规则算法代码，可以基于兴趣度挖掘关联规则，准确度高且执行时间少。-This is a section of association rules algorithm code, can be based on the degree of interest in mining association rules, high accuracy and less execution time.