资源列表
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.
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.
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.
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.
1
- 采用粗糙集理论实现连续数据的离散化,对理解数据的离散化有很大帮助-Using rough set theory to realize continuous data discretization
VB-Regular-Demon
- 这是一个利用正则表达式来提取指定数据的VB程序演示，利用正则可以很方便地从一堆杂乱的数据中提取所要的数据，示例中提取的是手机号码，还可以对处理结果进行去除重复的处理，大大加快工作的效率。-This is a use regular expressions to extract VB program demonstrates the specified data, the use of regularization can easily extract the desired data a ju
machine-learning
- 一些关于机器学习初学者可能会遇到的代码训练。分类学习等的代码分享。-some machine learning problems.
perception
- 用R语言进行机器学习中关于简单分类以及perception分类的代码。-some code about the easy classify and perception training in machine learning, using R.
Subsample_MaxNeighborDistance_R
- A subsample of an input population that has max pair-distance and min projection error
k-means-Clustering
- simple k-means implementation with Persian comments
randomForest_4.6-7
- Random Forest在R软件上实现，可以更快速的分类，非常实用的方法-Random Forest on the R software, you can more quickly classified, very practical approach
knn_java
- java写的k最邻近算法，是数据挖掘的基本算法之一。-Java write the k nearest neighbor algorithm, is one of the basic algorithm of data mining.