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» Detecting Significant Multidimensional Spatial Clusters
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NIPS
2004
9 years 10 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...
KDD
2004
ACM
111views Data Mining» more  KDD 2004»
10 years 9 months ago
Rapid detection of significant spatial clusters
Daniel B. Neill, Andrew W. Moore
ICIP
2002
IEEE
10 years 11 months ago
Image segmentation using clustering with saddle point detection
We discuss a novel statistical framework for image segmentation based on nonparametric clustering. By employing the mean shift procedure for analysis, image regions are identified...
Dorin Comaniciu
JCP
2008
133views more  JCP 2008»
9 years 9 months ago
DDSC : A Density Differentiated Spatial Clustering Technique
Finding clusters with widely differing sizes, shapes and densities in presence of noise and outliers is a challenging job. The DBSCAN is a versatile clustering algorithm that can f...
Bhogeswar Borah, Dhruba K. Bhattacharyya
SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
9 years 10 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
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