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» OPTICS: Ordering Points To Identify the Clustering Structure
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HT
1991
ACM
13 years 11 months ago
Identifying Aggregates in Hypertext Structures
Hypertext systems are being used in many applications because of their flexible structure and the great browsing freedom they give to diverse communities of users. However, this s...
Rodrigo A. Botafogo, Ben Shneiderman
ICWE
2005
Springer
14 years 29 days ago
Identifying Websites with Flow Simulation
We present in this paper a method to discover the set of webpages contained in a logical website, based on the link structure of the Web graph. Such a method is useful in the conte...
Pierre Senellart
SIMVIS
2004
13 years 8 months ago
Evaluation and Optimization of Laser Scan Data
The digitalization of objects from the real world is of great importance, e. g., in many multimedia applications, in 3D computer graphics, and in industrial measurement. In partic...
Christian Teutsch, Erik Trostmann, Michael Weber, ...
VLUDS
2010
232views Visualization» more  VLUDS 2010»
13 years 2 months ago
Methods for Feature Detection in Point Clouds
This paper gives an overview over several techniques for detection of features, and in particular sharp features, on point-sampled geometry. In addition, a new technique using the...
Christopher Weber, Stefanie Hahmann, Hans Hagen
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...