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» On the Complexity of Ordinal Clustering
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 3 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
AI
2000
Springer
14 years 2 months ago
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
Abstract. Today’s case based reasoning applications face several challenges. In a typical application, the case bases grow at a very fast rate and their contents become increasin...
Qiang Yang, Jing Wu
ADHOC
2006
116views more  ADHOC 2006»
13 years 10 months ago
Efficient clustering algorithms for self-organizing wireless sensor networks
Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy reso...
Rajesh Krishnan, David Starobinski
CLUSTER
2004
IEEE
13 years 10 months ago
Resource Management for Ad-Hoc Wireless Networks with Cluster Organization
Boosted by technology advancements, government and commercial interest, ad-hoc wireless networks are emerging as a serious platform for distributed mission-critical applications. G...
Ionut Cardei, Srivatsan Varadarajan, Allalaghatta ...
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
13 years 10 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring