资源列表
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
neighborhood-classifier
- 依据Neighborhood classifier编写的.m程序-Metric space Neighborhood Rough set Reduction Classifier Norm
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
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
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
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
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
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.
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.
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.
QRS-wave-group-detect
- 用连续小波对信号进行多尺度变换，选择合适的小波系数，采用模极大值检测RQS波群。-Using continuous wavelet multi-scale transform of signal, the appropriate wavelet coefficients, using modulus maxima detection RQS wave group.
GP
- guassian process for classification and regression