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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
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)