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ALGORITHMICA
2006
132views more  ALGORITHMICA 2006»
13 years 9 months ago
Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs
Hierarchical graphs and clustered graphs are useful non-classical graph models for structured relational information. Hierarchical graphs are graphs with layering structures; clus...
Peter Eades, Qing-Wen Feng, Xuemin Lin, Hiroshi Na...
NECO
2007
74views more  NECO 2007»
13 years 9 months ago
Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
An ensemble of stochastic non-leaky integrate-and-fire neurons with global, delayed and excitatory coupling and a small refractory period is analyzed. Simulations with adiabatic ...
Andreas Kaltenbrunner, Vicenç Gómez,...
GIS
2002
ACM
13 years 9 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
EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 9 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
PRL
2006
249views more  PRL 2006»
13 years 9 months ago
Image segmentation by histogram thresholding using hierarchical cluster analysis
This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class vari...
Agus Zainal Arifin, Akira Asano