资源列表
Tensor-Factorization-HOSVD-iterative-master
- hosvd 迭代分解,很好用，是一个硕士论文里的代码(terative HOSVD algorithm to decompose tensor and find its Singular factors in each mode.)
ConfusionMatrices
- 基于matlab的混淆矩阵算法，内含具体实例，可作出混淆矩阵相关图。
LARS算法
- 包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat
直觉模糊C均值聚类
- 对所获取的数据进行无监督的直觉模糊C均值聚类(intuitionistic fuzzy C-means clustering)
BinaryNet-master
- 二值化程序代码，对数据进行很好地优化，实用于图像处理，图像去噪(Two value of the program code, the data is well optimized)
SVM
- 改程序可以实现基于支持向量机方法的径流中长期预报(A runoff forecasting method based on Support Vector Machines)
SVD.m
- 利用SVD实现item-based CF: 优点： 简化数据，去除噪声，提高算法的结果 缺点： 数据的转换可能难以理解 适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for approximate approximation)
kmediod
- k-mediod、knn、uci数据集。 数据挖掘、机器学习中的经典聚类、分类算法(K-mediod, KNN, and UCI data sets. Data mining and classical clustering and classification algorithms in machine learning)
KNN，SVM，决策树，朴素贝叶斯
- 用python的sklearn包分类 简单的对数据进行分类(Sort with Python's sklearn package Simple classification of data)
NBA_data_Analysis-Project
- 对NBA球员的大数据进行分析，含代码和结果图(Analyze the big data for NBA players, including code and result diagrams)
统计建模于R
- 基于R语言的建模，结合例子的代码实现，包括假设检验与各种统计量的计算(Based on the R language modeling, combined with the code implementation of the example, including the hypothesis test and the calculation of various statistics)
deep_complex_networks-master
- 该存储库包含重现深层复杂网络文章中提供的实验的代码。(This repository contains code which reproduces experiments presented in the paper Deep Complex Networks.)