DocumentCode
424010
Title
Committee of spherical probabilistic principal surfaces
Author
Staiano, Antonino ; Tagliaferri, Roberto ; Longo, Giuseppe ; Benvenuti, Piero
Author_Institution
Dipt. di Sci. Fisiche, Univ. Federico II, Napoli, Italy
Volume
3
fYear
2004
fDate
25-29 July 2004
Firstpage
2193
Abstract
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.
Keywords
data mining; data visualisation; pattern classification; probability; vectors; data classification tasks; data mining applications; data visualization; real world astronomical data; spherical probabilistic principal surfaces; vectors; Data mining; Data visualization; Ear; Electronic mail; Gaussian distribution; Pattern recognition; Probability density function; Probability distribution; Surface topography; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1380960
Filename
1380960
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