5 search results - page 1 / 1 » SQLEM: Fast Clustering in SQL using the EM Algorithm |
139
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SIGMOD
2000
ACM
15 years 9 months ago
2000
ACM
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
119
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ICMCS
2006
IEEE
15 years 11 months ago
2006
IEEE
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
169
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NIPS
1994
15 years 6 months ago
1994
This paper studies the convergence properties of the well known K-Means clustering algorithm. The K-Means algorithm can be described either as a gradient descent algorithmor by sl...
137
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NIPS
2001
15 years 6 months ago
2001
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
126
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KDD
2005
ACM
16 years 5 months ago
2005
ACM
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...