Probabilistic visualisation of high-dimensional binary data

被引:0
|
作者
Tipping, ME [1 ]
机构
[1] Microsoft Res, Cambridge CB2 3NH, England
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D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a probabilistic latent-variable framework for data visualisation, a key feature of which is its applicability to binary and categorical data types for which few established methods exist. A variational approximation to the likelihood is exploited to derive a fast algorithm for determining the model parameters. Illustrations of application to real and synthetic binary data sets art given.
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页码:592 / 598
页数:7
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