资源列表
Matlab
- 1.计算两类样本的隶属度；2.使用quadprog函数求解svm的拉格朗日乘子；3.主成份分析-1.caculate the membership of 2 samples；2.use quadprog function to get the lagrangian multiplier；3.principle component analasys
zh_FFT
- 经典的数据处理技术，福利叶变换，研究数据在频域里的特性。-Classic data processing technology, the welfare transform, study the characteristics of data in frequency domain.
VAR
- 时域模态分析方法中的多元自回归模型，用于识别结构的模态参数。-Multivariate autoregressive model of time domain modal analysis method, is used to identify structural modal parameters.
k-means-cluster
- 分类算法中k均值分类算法，可以用于简单的模式识别中去。-Classification algorithm of k-means classification algorithm, which can be used in a simple pattern recognition.
era
- 基于时域的模态参数识别算法，特征系统实现法。-Modal parameter identification algorithm based on time domain, the characteristics of the system implementation method.
KNNDemo
- KNN算法Java语言实现，控制台运行界面。分类训练样本集和测试样本都有。-Java KNN language implementation, the console running interface. Classified training samples and test samples are.
k-means-Java
- 用JAVA实现k-means算法，其中聚类方法使用余弦相似度,带运行界面。完美运行。-Using JAVA k-means algorithm, clustering method using the cosine similarity
brain-tumor
- K-Means for brain tumor analysis
pls
- 多元统计回归，偏最小二乘，适用于数据挖掘-Multivariate Statistics
wine
- 基于Wine数据集的数据分析报告 R语言+实验结果文档-data analysis based on wine
DecisionForest_v3.1
- [1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim, Tracking Tetrahymena Pyriformis Cells using Decision Trees , 2012 21st International Conference on Pattern Recognition (ICPR), Pages 1843-1847, 11-15 Nov. 2012. [2] Q
KNN
- 做了KNN分类算法的C++实现，希望感兴趣的下载-We do C++ KNN classification algorithm, and the hope of interest to download