MIC (Maximal information coefficient) is a wonderful thing, derived from a paper that was posted on sicence in 2011. Statistics have been known, there is a correlation coefficient such a thing, usually called R. But it should be called linear correlation coefficient, and the application field is very narrow. And MIC this thing, first of all compare general, no matter what function relationship can be identified, in other words, sine function and hyperbola function and straight line, for this coefficient is the same. In addition to a point, that is, if there is no noise and no linear relationship between the noise of the sine function, they are 1 MIC, with the same noise, if the linear relationship between the MIC into 0.7, then the sine function MIC into 0.7, in other words, independent function relationship between variables and influence the noise of MIC caused by the. Of course, the argument was refuted or partly refuted in a paper.

minepy-1.2.0
minepy-1.2.0\.gitignore
minepy-1.2.0\.travis.yml
minepy-1.2.0\CHANGES.rst
minepy-1.2.0\INSTALL.rst
minepy-1.2.0\MANIFEST.in
minepy-1.2.0\README.rst
minepy-1.2.0\compile_pyx.sh
minepy-1.2.0\docs
minepy-1.2.0\docs\Makefile
minepy-1.2.0\docs\make.bat
minepy-1.2.0\docs\source
minepy-1.2.0\docs\source\application.rst
minepy-1.2.0\docs\source\conf.py
minepy-1.2.0\docs\source\cpp.rst
minepy-1.2.0\docs\source\details.rst
minepy-1.2.0\docs\source\images
minepy-1.2.0\docs\source\images\alg1.png
minepy-1.2.0\docs\source\images\alg2.png
minepy-1.2.0\docs\source\images\power.pdf
minepy-1.2.0\docs\source\images\power.png
minepy-1.2.0\docs\source\images\relationships.eps
minepy-1.2.0\docs\source\images\relationships.png
minepy-1.2.0\docs\source\index.rst
minepy-1.2.0\docs\source\install.rst
minepy-1.2.0\docs\source\libmine.rst
minepy-1.2.0\docs\source\matlab.rst
minepy-1.2.0\docs\source\python.rst
minepy-1.2.0\examples
minepy-1.2.0\examples\c_conv_example.c
minepy-1.2.0\examples\c_example.c
minepy-1.2.0\examples\cpp_example.cpp
minepy-1.2.0\examples\cpp_example2.cpp
minepy-1.2.0\examples\matlab_example.m
minepy-1.2.0\examples\power.pdf
minepy-1.2.0\examples\power.py
minepy-1.2.0\examples\python_conv_example.py
minepy-1.2.0\examples\python_example.py
minepy-1.2.0\examples\python_example2.py
minepy-1.2.0\examples\relationships.py
minepy-1.2.0\gpl-3.0.txt
minepy-1.2.0\libmine
minepy-1.2.0\libmine\cppmine.cpp
minepy-1.2.0\libmine\cppmine.h
minepy-1.2.0\libmine\mine.c
minepy-1.2.0\libmine\mine.h
minepy-1.2.0\matlab
minepy-1.2.0\matlab\mine.m
minepy-1.2.0\matlab\mine_mex.c
minepy-1.2.0\minepy
minepy-1.2.0\minepy\__init__.py
minepy-1.2.0\minepy\mine.c
minepy-1.2.0\minepy\mine.pyx
minepy-1.2.0\minepy\scripts
minepy-1.2.0\minepy\scripts\mine
minepy-1.2.0\requirements.txt
minepy-1.2.0\setup.py
minepy-1.2.0\tests
minepy-1.2.0\tests\minepy_test.py

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．