Hi Tovim,
Refer to help of Visumap, it has capability to export/import data, mapping data, clustering data and interactive data view.
For data mapping, it has several algorithms: Sammon, CCA, RPM, Speric Relational, PCA, SMACOF and t-SNE. For clustering, it use K-Mean, SOM, metric sampling, Agglomerative, Affinity and SOG.
A lot of data mapping and clustering algorithms available, sometime not available in one software and available in others, the important thinks is "Our capability to evaluate/interpret produced cluster or map". The clustering and map will be useless if you do not knows how to interpret them. The method I took to evaluate them is by testing each cluster into my trading strategy.
Within attached article (ultsch09selorgan.pdf), shown other algorithm that is not available in Visumap, example SOP (Swarm-Organized Projection).
Within attached article (NA16409.pdf), it shown the SOM visualization comparison using Nenet, Matlab SOM-Toolbox, Databionic ESOM and Viscovery SOMine. In chapter 4, the author explains few difficulties to interpret the map which lead him to create a new method and then implement it on Matlab.
I found that Sammon Algorithm publicity has been released since May 1969, Kohonen SOM in 1982, CCA in 1997, RPM in 2004. I agree to mention that Visumap has more algorithm while other may have few algorithm only, and again it will depend on our capability to evaluate/interpret produced cluster or map.
Happy Investing