Popsom7

Popsom 5.0 is a complete rarchitecting of the package. It includes the following:
- Support for two models:
1. A self-organizing map model
2. A centroid based clustering model
- Quality measures available for both models
- Streamlined S3 based API
- Easy access to the most important map and centroid data structures
- Powerful map visualization with centroid identification
- Extremely fast training algorithm based on ideas from tensor algebra

Fixed code with the deprecated functions.

This release introduces a decaying alpha value for the VSOM training algorithm fixing convergence problems at high learning rates. This release also deprecates a number of interface objects in order to get ready for the next release.

fixed Fortran cross-platform issues

The biggest change in the 4.0 release of popsom is the inclusion of a vectorized version of the stochastic SOM training algorithm. This new training algorithm runs up to 10 times faster than the batch algorithm and between 50 to 100 times faster than the traditional stochastic training algorithm. Of course the precise numbers depend strongly on the kind of problem you are working on.

The SOM quality reporting functions have been made consistent with our recent publications:
see http://homepage.cs.uri.edu/faculty/hamel/pubs/

This is the current release in R, June 2016