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Version_2p2_Final
- TDMS的文件读取到Matlab。 优点： -支持读取v2的文件 -不需要使用NI的DLL，因此它不需要32位窗口 - 支持隔行扫描数据 -只允许读的名称及属性，以得到一个文件是什么感觉快 - 允许读数据的特定子集 -Reads TDMS files into Matlab. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus
Version_1p1_Final
- Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only r
FuzzyClusteringToolbox
- The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called clusters), hard and fuzzy partitioning mean, that these transitions between the subsets are crisp
fuzzy.zip
- 模糊聚类和数据分析工具箱是一个集合的Matlab功能。它的提出 是将一个给定的数据集为子集（称为集群），硬和模糊分区的意思是，这些之间的转换子集是脆的或渐进的。,The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called cluster
kmedian
- The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cv
Salary Prophesy based on job advertisement
- Due to constraints on time and memory, I had to train on subsets of data. Hence, I decided to split the data set based on Job Category (there are 29 possible categories). I then trained an SVR model for each Job Category. Given a new advertisement, m
Moving-Average
- A moving average or running average is a calculation to analyze data points by creating series of averages of different subsets of the full data set. This Source code provides implementation of the same.
PCAPMAPPLSPBP
- 这是一种基于近红外光谱的非线性建模方法及系统，从各所述近红外光谱数据随机挑出一部分作为校正集，挑出一部分作为验证集；将所述校正集和所述验证集通过主成分分析得到光谱特征空间；在所述光谱特征空间中，通过马氏距离法选取所述校正集里与所述验证集的各个样本最近似的样本作为校正子集；从所述校正子集中提取主成分数，作为BP神经网络的输入层建立回归模型，不仅能解决各因素之间多重相关的问题，还避免了大量的噪声和一些无用的信息，降低了变量维数，在BP神经网络的非线性映射能力和适应学习能力的基础上，提高了模型的预测稳
StratifiedPartitionSubsets
- 交叉验证中使用的分层次随机分割样本集，用于分类实验中的分类误差估计中的n倍交叉验证实验(Stratified randomly partition samples into subsets, used in the n-fold cross-validation)
IRJET-V4I5669
- The Apriori algorithm was proposed by Agrawal and Srikant in 1994. Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). Other algorithms ar