1400 search results - page 43 / 280 » Bayesian hierarchical clustering |
PRIB
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
DCOSS
2005
Springer
14 years 3 months ago
2005
Springer
Abstract: Since nodes in a sensor network have limited energy, prolonging the network lifetime and improving scalability become important. In this paper, we propose a distributed w...
ICWMC
2006
IEEE
14 years 3 months ago
2006
IEEE
Wireless sensor networks (WSNs) are commonly used for continuously monitoring applications. This paper investigates a base station assisted energy efficient routing for hierarchi...
ICCSA
2004
Springer
14 years 3 months ago
2004
Springer
We propose a hierarchical, cluster based semi-distributed routing protocol for a mobile ad hoc network. The network graph is partitioned into clusters using heuristics and the shor...
BIRTHDAY
2010
Springer
14 years 1 months ago
2010
Springer
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...