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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 7 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
JMLR
2010
175views more  JMLR 2010»
13 years 2 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
PODS
1995
ACM
124views Database» more  PODS 1995»
13 years 11 months ago
Window Query-Optimal Clustering of Spatial Objects
During the last decade various spatial data structures have been designed and compared against each other with respect to their performance. Still missing is a lower bound result,...
Bernd-Uwe Pagel, Hans-Werner Six, Mario Winter
APVIS
2009
13 years 8 months ago
A self-adaptive treemap-based technique for visualizing hierarchical data in 3D
In this paper, we present a novel adaptive visualization technique where the constituting polygons dynamically change their geometry and other visual attributes depending on user ...
Abon Chaudhuri, Han-Wei Shen
ESM
2000
13 years 9 months ago
A tool for controlled knowledge discovery in spatial domains
A data simulator that can facilitate the development of improved sampling and analysis procedures for spatial analysis is proposed. The simulator, implemented in MATLAB, provides ...
Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez