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» Rapid detection of significant spatial clusters
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KDD
2004
ACM
111views Data Mining» more  KDD 2004»
14 years 4 months ago
Rapid detection of significant spatial clusters
Daniel B. Neill, Andrew W. Moore
NIPS
2004
13 years 5 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
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 4 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
BMCBI
2007
99views more  BMCBI 2007»
13 years 4 months ago
Statistical significance of cis-regulatory modules
Background: It is becoming increasingly important for researchers to be able to scan through large genomic regions for transcription factor binding sites or clusters of binding si...
Dustin E. Schones, Andrew D. Smith, Michael Q. Zha...
ICIP
2002
IEEE
14 years 6 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