Generative topographic map

Generative topographic map (GTM) is a machine learning method that is a probabilistic counterpart of the self-organizing map (SOM), is provably convergent and does not require a shrinking neighborhood or a decreasing step size.

"Constrained Clustering as an Optimization Method" (Rose, Gurewitz, & Fox, IEEE Trans Patt Anal and Mach Intel 15(8), 1993, pp785--794)
"GTM: The Generative Topographic Mapping" ...

map" due to its invention by Professor Teuvo Kohonen, is an unsupervised learning technique that reduces the dimensionality of data through the use of a self-organizing neural network. A probabilistic version of SOM is the Generative Topographic Map ...

See also: Neural network, Machine learning, Pattern recognition, Self-organizing map, Self-organizing