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» Fully distributed EM for very large datasets
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IJCNN
2000
IEEE
13 years 8 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
NIPS
1997
13 years 5 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
ICS
1993
Tsinghua U.
13 years 8 months ago
The EM-4 Under Implicit Parallelism
: The EM-4 is a supercomputer that offers very fast inter processor communication and support for multi threading. In this paper we demonstrate that the EM-4, Together with an auto...
Lubomir Bic, Mayez A. Al-Mouhamed
VLDB
1998
ACM
192views Database» more  VLDB 1998»
13 years 8 months ago
Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
Edwin M. Knorr, Raymond T. Ng
ICML
2005
IEEE
14 years 5 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos