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CCA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的典型相关分析Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis, canonical correlation analysis of Matlab code implementation.
DCCA_zq
- 用于特征降维，特征融合，相关分析等多元数据分析的鉴别型典型相关分析（DCCA）Matlab代码实现。-For feature reduction, feature fusion, multivariate data analysis and correlation analysis based identification of canonical correlation analysis (DCCA) Matlab code impl
DCCA
- 用matlab实现去趋势互相关分析的DCCA算法，将两组数据分析其协方差，最后得到DCCA指数，并进行T检验-DCCA algorithm using matlab detrended cross-correlation analysis, two sets of data to analyze the covariance last DCCA index, and T-test
MFXDMA
- 多重分形趋势互 分析法（MF-DCCA）方法可以用来量化这种交叉相关，例如 MF-选区基于趋势波动分析方法（MF-X-DFA）。-The multifractal trend analysis of each method (MF-DCCA) method can be used to quantify this cross-correlation, such as MF-constituency based on detren
dcca-6-1-3-dicom-conformance
- This conformance statement applies to version 6.1 of the Dell Cloud Clinical Archive product. Future versions of the product should maintain compatibility with this conformance statement, but will include added fea
MF-DCCA-master
- 多重分形趋势互 分析法（MF-DCCA）方法可以用来量化这种交叉相关，例如 MF-选区基于趋势波动分析方法（MF-X-DFA）(The multifractal trend analysis of each method (MF-DCCA) method can be used to quantify this cross-correlation, such as MF-constituency based on detrended f
DCCA
- 多重分形去趋势交叉相关性分析，分析时间序列，如股市变动价格，PM2.5数据，外币汇率等(Multifractal detrending cross correlation analysis and analysis of time series, such as stock market variable price, PM2.5 data, foreign currency exchange rate, etc.)
MF-DCCA-333
- 多重分形去趋势交叉相关系数多重分形去趋势波动分析，用于不同时间序列的重分形交叉相关性分析(Multifractal Detrending Cross Correlation Coefficient Multifractal Detrending Fluctuation Analysis for Multifractal Cross Correlation Analysis of Different Time Series)
DeepCCA-master
- 深度典型相关分析的python实现，DCCA是Galen Andrew于2013年发表于ICML上的一篇文章，提出了将深度网络与CCA结合的新方法。(Deep canonical correlation analysis)
多重分形去趋势交叉相关性方法
- 含时间序列的多重分形交叉相关性分析，非对称交叉相关性分析等程序，可用于论文写作、科研等方面(The programs of multifractal cross-correlation analysis and asymmetric cross-correlation analysis with time series can be used in paper writing and scientific research)
未命名文件夹
- 互相关性检验，Podobnik et al.(2009)提出的互相关统计量；MF-DCCA(Cross correlation test, cross-correlation statistics proposed by podobnik et al. (2009); MF-DCCA)
DeepCCA-master
- Deep Canonical Correlation Analysis