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» Non-parametric Mixture Models for Clustering
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KI
2009
Springer
15 years 10 months ago
Generalized Clustering via Kernel Embeddings
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
Stefanie Jegelka, Arthur Gretton, Bernhard Sch&oum...
INFOSCALE
2007
ACM
15 years 5 months ago
Citation data clustering for author name disambiguation
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
Tomonari Masada, Atsuhiro Takasu, Jun Adachi
ICML
2004
IEEE
16 years 4 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
ICMCS
2010
IEEE
185views Multimedia» more  ICMCS 2010»
15 years 4 months ago
Visual speaker model exploration
We present an interactive visualization system for the analysis of Gaussian mixture speaker models. The system exhibits the inner workings of the model intuitively by visualizing ...
Christian Beecks, Thilo Stadelmann, Bernd Freisleb...
IDEAL
2005
Springer
15 years 9 months ago
Cluster Analysis of High-Dimensional Data: A Case Study
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
Richard Bean, Geoffrey J. McLachlan