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» Evaluation of Clusterings - Metrics and Visual Support
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ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 7 months ago
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
GIS
2002
ACM
15 years 1 months ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan
VIS
2004
IEEE
195views Visualization» more  VIS 2004»
16 years 3 months ago
Flow Field Clustering via Algebraic Multigrid
We present a novel multiscale approach for flow visualization. We define a local alignment tensor that encodes a measure for alignment to the direction of a given flow field. This...
Michael Griebel, Tobias Preußer, Martin Rump...
MM
2006
ACM
130views Multimedia» more  MM 2006»
15 years 7 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
INFOVIS
2005
IEEE
15 years 7 months ago
Revealing Structure within Clustered Parallel Coordinates Displays
In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data bu...
Jimmy Johansson, Patric Ljung, Mikael Jern, Matthe...