Mutual

The function will estimateEstimate Mutual Information with kernel density function

Calculates the Mutual Average Information of a time series for some time lag.

Calculate windowed mutual information between two signals up to a pre-defined lag. The estimation of the (joint) probabilities is optimized, hence, entire computation is very fast.


Platforms: Matlab

Normalized mutual information is often used for evaluating clustering result, information retrieval, feature selection etc. This is a optimized implementation of the function which has no for loops.


Platforms: Matlab

With this plugin, you can have a profile tab showing mutual friends of users, just like in Facebook!There are two versions of the plugin: a commercial and a non-commercial one. The difference? Only one: when you don't enter your verification key in the tab parameters, you get the "CB Mutual...


Platforms: PHP

Usage: I=mi(A,B), where A and B are equally sized images/signals.Function hist2 (included) is used to determine the joint histogram of the images/signals. All histograms use 256 bins.Assumptions: 1) 0*log(0)=0, 2) mutual information is obtained on the intersection between the supports of partial...


Platforms: Matlab

Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded references for formula.This code is used for the...


Platforms: Matlab

The definition of mutual information could resort to wiki:http://en.wikipedia.org/wiki/Mutual_informationFor marginal mutual information, we say it is :I(A,B)=sum sum P(A,B) log[P(A,B)/P(A)P(B)]For conditional mutual information, we say it is :I(A,B|C)=sum sum P(A,B|C)...


Platforms: Matlab

Usage: I=mi(A,B), where A and B are equally sized images/signals.Function hist2 (included) is used to determine the joint histogram of the images/signals.Assumptions: 1) 0*log(0)=0, 2) mutual information is obtained on the intersection between the supports of partial histograms.Example (in...


Platforms: Matlab

Very fast implementation of average mutual information. Usage: [v,lag]=ami(x,y,lag) Calculates the mutual average information of x and y with a possible lag. v is the average mutual information. (relative units see below) x & y is the time series. (column vectors) lag is a vector of time lags....


Platforms: Matlab

Nowadays there are heaps of articles on the theory of fuzzy entropy and fuzzy mutual information. However, there is a clear significant lack for a Matlab implementation of these concepts. Based on numerous requests from students and researchers, I have prepared this code to simplify such concepts...


Platforms: Matlab

Mutual information I(X,Y) measures the degree of dependence (in terms of probability theory) between two random variables X and Y. Is is non-negative and equal to zero when X and Y are mutually independent. Conditional mutual information I(X,Y|Z) is the expected value of I(X,Y) given the value of...


Platforms: Matlab

Trading software for all instruments on every market! Optimal Trader combines technical analysis with neural networks and modern signal processing. Most indicators have been improved with new technology. A large database with stocks, mutual funds and indices is available for free. Features:...


Platforms: Windows

Stock Quotes for Excel is a powerfull Add-in for Excel that allows you to update Stock Quotes automatically, Market Indexes and Mutual Funds into your Excel spreadsheets - via Internet. No more manual and tedious updates. No more risk of using outdated data. It seamlessly integrates to Microsoft...


Platforms: Windows

Finance::Quote is a Perl module to get stock and mutual fund quotes from various exchanges. SYNOPSIS use Finance::Quote; $q = Finance::Quote->new; $q->timeout(60); $conversion_rate = $q->currency("AUD","USD"); $q->set_currency("EUR"); # Return all info in Euros....


Platforms: *nix

Text::NSP::Measures::2D::MI::pmi is a Perl module that implements Pointwise Mutual Information. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::MI::pmi; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $pmi_value = calculateStatistic( n11=>$n11, n1p=>$n1p, np1=>$np1,...


Platforms: *nix

Text::NSP::Measures::2D::MI::tmi is a Perl module that implements True Mutual Information. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::MI::tmi; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $tmi_value = calculateStatistic( n11=>$n11, n1p=>$n1p, np1=>$np1, npp=>$npp);...


Platforms: *nix

Text::NSP::Measures::3D::MI is a Perl module that provides error checks and framework to implement Loglieklihood, Total Mutual Information, Pointwise Mutual Information and Poisson Stirling Measure for trigrams. SYNOPSIS Basic Usage use Text::NSP::Measures::3D::MI::ll; $ll_value =...


Platforms: *nix

Text::NSP::Measures::3D::MI::pmi is a Perl module that implements Pointwise Mutual Information for trigrams. SYNOPSIS Basic Usage use Text::NSP::Measures::3D::MI::pmi; $pmi_value = calculateStatistic( n111=>10, n1pp=>40, np1p=>45, npp1=>42, n11p=>20, n1p1=>23, np11=>21, nppp=>100);...


Platforms: *nix

Text::NSP::Measures::3D::MI::tmi is a Perl implementation for True Mutual Information for trigrams. SYNOPSIS Basic Usage use Text::NSP::Measures::3D::MI::tmi; $tmi_value = calculateStatistic( n111=>10, n1pp=>40, np1p=>45, npp1=>42, n11p=>20, n1p1=>23, np11=>21, nppp=>100); if(...


Platforms: *nix