# GIF-Animation of BSOM 1

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This animation demonstrates density-learning of
a Bayesian self-organizing map (BSOM).
Green asterisks denote artificially generated data points.
Blue circles and links denote the positions of central parameters
and a topology of the BSOM respectively.
The BSOM has a probability density function specified by the central parameters
and a common variance. In the animation, this density is expressed using
a black-red-yellow-white color map.
The learning of BSOM is regarded as a search process for
the optimal density explaining data generation by improving parameters
and hyperparameters.

### NOTE

The initial values of the central parameters are positioned
on a straight line whose direction is parallel with
the first principal component vector of the data distribution.
Starting from a density similar to the density estimated
by the principal component analysis (PCA),
the BSOM has been improving the density.

Akio Utsugi

Jul 19 1996 update