|Code Listing by Alexandros Leontitsis|
The Spherical Self-Organizing Feature Maps is a contemporary technique for data clustering and visualization.
The main advantages they offer are the following:
1. Smooth training
2. Implementation in arbitrary dimension without additional computational cost.
3. Data visualization in arbitrary dimensions
This toolbox contains a set of functions and a GUI which can be used to create glyphs from spherical...
Returns an indicator 0 or 1 that tells if a date is the Easter Sunday according to either the Catholic or the Orthodox dogma.
Makes the Box-Cox transformation of a data set x.
It calculates the Tillson moving average. The user is able to change the parameters such as the smoothing sweeps and the volume factor
This upload contains a hybrid Particle Swarm Optimization algorithm for functions in the real space. An options file is also provided, which lets the user fully parameterize the process. The hybrid function used is the @fminsearch, which is...
Calculates the Variance Ratio Test of a time series, with or without the heteroskedasticity correction.
Calculates the Mutual Average Information of a time series for some time lag.
It calculates the Spearman rank correlation coefficient from 2 or more data sets, and the associated t-test and p-values. The code is adapted with major changes from the Numerical Recipes book (http://www.nr.com/)
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