5 search results - page 1 / 1 » SQLEM: Fast Clustering in SQL using the EM Algorithm |
SIGMOD
2000
ACM
13 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...
ICMCS
2006
IEEE
13 years 10 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...
NIPS
1994
13 years 5 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...
NIPS
2001
13 years 5 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...
KDD
2005
ACM
14 years 4 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...