资源列表
Clustering
- 对数据进行归类，采用了k-means,NMF以及谱聚类三种方法。其中， 谱聚类的效率比较低下。-Classify the data, using the k-means, NMF and spectral clustering three methods. Among them, the relatively low efficiency of spectral clustering.
KMeans
- 用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)
PCA
- python PCA算法。 以及主成分分析的相关文档，资料，数据集。-python PCA algorithm.
SAP_HANA_pdf
- HANA是一个软硬件结合体，提供高性能的数据查询功能，用户可以直接对大量实时业务数据进行查询和分析，而不需要对业务数据进行建模、聚合。-HANA is a combination of hardware and software to provide high-performance data query capabilities, users can perform a large number of real-time business data query and analysis dir
SAS-Getting-Started
- SAS操作入门SAS Getting Started-SAS Getting Started
K-MEANS
- k-means聚类算法 用C++实现 聚类采用数据为二维数据 保存在当前目录下的data.txt文件中-K-means clustering algorithm C++ implementation
code
- 完成三个聚类算法：k-means，非负矩阵分解，谱聚类-Please implement three clustering algorithms: k-means, clustering by non-negative matrix factorization (NMF), and spectral clustering.
HW1_GA
- 基于matlab的遗传算法的简单实现，可用于初学者对遗传算法进行简单了解-Based on simple matlab genetic algorithm can be used for beginners to learn simple genetic algorithm
Rough-Set
- 学习粗糙集理论的基础，有关于粗糙集的文献，便于更好理解-Learn basic rough set theory, rough set about literature, for better understanding
svm
- python，svm支持向量机例子。里面有文档和源码。-python, svm support vector machine example. There are documents and source code.
FullBNT-1.0.4
- Bayesian 神经网络，可用于模型构建中变量的筛选-Bayesian neural network，could be applied for variable selection in model construction
airPLS-2.0-matlab
- airpls自适应迭代重加权惩罚最小二乘算法背景扣除的matlab代码- airpls background subtraction matlab code