Committee of spherical probabilistic principal surfaces

Probabilistic Principal Surfaces is a promising latent variable model which represents a powerful tool to be used in a large range of data mining applications, due to its valuable capabilities in data visualization and classification tasks. In This work we focus our attention on the latter issue, proposing two combining schemes to build an ensemble of Probabilistic Principal Surfaces which is proved to be very effective in classifying very complex artificial and real-world astronomincal data.