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» On the Complexity of Ordinal Clustering
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 6 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
15 years 6 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»
15 years 1 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
15 years 1 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»
15 years 1 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