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VIS
2003
IEEE
121views Visualization» more  VIS 2003»
14 years 8 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
SIGIR
2009
ACM
14 years 2 months ago
A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation
This paper describes a simple clustering approach to person name disambiguation of retrieved documents. The methods are based on standard IR concepts and do not require any task-s...
Christof Monz, Wouter Weerkamp
DEXA
2008
Springer
143views Database» more  DEXA 2008»
13 years 9 months ago
XML Filtering Using Dynamic Hierarchical Clustering of User Profiles
Information filtering systems constitute a critical component in modern information seeking applications. As the number of users grows and the information available becomes even bi...
Panagiotis Antonellis, Christos Makris
ICIAR
2005
Springer
14 years 1 months ago
Estimating the Natural Number of Classes on Hierarchically Clustered Multi-spectral Images
Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are us...
André R. S. Marçal, Janete S. Borges
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan