248 search results - page 26 / 50 » Unsupervised Learning for Hierarchical Clustering Using Stat... |
101
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PERVASIVE
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
NIPS
2003
15 years 1 months ago
2003
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
ICDM
2003
IEEE
15 years 5 months ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
104
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SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
NIPS
2007
15 years 1 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...