资源列表
dimensionality-reduction-and-k-means
- 1.使用k-svd对数据进行稀疏表示，降维 2.使用k-means对上述数据聚类-1.use k-svd to reduce the dimensions of data 2.clster the data by k-means
DMC_Lasso-sum
- 该资料为中国人民大学DMC讨论小组关于lasso的学习分享材料及相应的ppt讲解，对于自学lasso的同学帮助很大。-The data for the Renmin University of China DMC discussion group on lasso learning materials and the corresponding share ppt explain, for self-study students lasso great help.
Social-Networks-PPT-a-R
- 主要内容为R语言环境下的社交网络数据挖掘，附有源代码和数据，并包含案例所使用的PPT和相关文献。-The main content is under R locales social network data mining, with the source code and data, and includes cases PPT and related documentation used.
GoogleNormalDistanceCalculator
- 计算两个词语的google相似度，即google normal distance-To calculate the distance between two words with google normal distance algorithm.
Kmedoids
- 实现K-medoids模糊聚类算法，增加聚类有效性-K-medoids fuzzy clustering algorithm to achieve, increase the effectiveness of clustering
python-quantitive
- python 分类算法量化投资 SVM 神经网络算法 沪深300指数-python classification algorithm quantitative investment
TLBOmain
- 教与学算法的matlab基本程序，可根据自身要求进行修改。-Teach Learning-based Optimization
kmeans_demo
- 简单的k-means算法采用java语言实现，具有很高的学习价值-Simple k-means algorithm, using java language, learning a great help
k-means
- k-means算法实现，能够直接导入直接运行，对学士有很大的帮助-k means algorithm, you can run
neighborhood-mu-info
- 基于邻里互信息特征的评价与选择,数据挖掘，Matlab平台-neighborhood mutual information based feature uation and selection
neighborhood-classifier
- 依据Neighborhood classifier编写的.m程序-Metric space Neighborhood Rough set Reduction Classifier Norm
KNN
- KNN算法，用于数据挖掘中数据离散化处理-K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning