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» Chameleon: Hierarchical Clustering Using Dynamic Modeling
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ICC
2008
IEEE
167views Communications» more  ICC 2008»
14 years 4 months ago
Clustering Large Optical Networks for Distributed and Dynamic Multicast
—For a large-scale mesh network with dynamic traffic, maintaining the global state information in a centralized fashion is impractical. Hence, distributed schemes are needed to ...
Mohammad Masud Hasan, Jason P. Jue
SODA
1998
ACM
113views Algorithms» more  SODA 1998»
13 years 11 months ago
Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
David Eppstein
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 10 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 10 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
IPMI
2009
Springer
14 years 10 months ago
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
Carl-Fredrik Westin, W. Eric L. Grimson, Xiaogang ...