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ICPR
2006
IEEE
14 years 10 months ago
A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering
High-level semantic understanding of vehicle motion behaviors is often based on vehicle motion trajectory clustering. In this paper, we propose an effective trajectory clustering ...
Wei Hu, Weiming Hu, Xi Li
BTW
2005
Springer
80views Database» more  BTW 2005»
14 years 2 months ago
Measuring the Quality of Approximated Clusterings
Abstract. Clustering has become an increasingly important task in modern application domains. In many areas, e.g. when clustering complex objects, in distributed clustering, or whe...
Hans-Peter Kriegel, Martin Pfeifle
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 10 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
14 years 9 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
EDBT
2004
ACM
192views Database» more  EDBT 2004»
14 years 9 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...