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» Spatial Clustering of Galaxies in Large Datasets
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CORR
2002
Springer
99views Education» more  CORR 2002»
13 years 4 months ago
Spatial Clustering of Galaxies in Large Datasets
Alexander S. Szalay, Tamas Budavari, Andrew Connol...
AI
2005
Springer
13 years 10 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
13 years 9 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...
PAMI
2010
164views more  PAMI 2010»
13 years 3 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
13 years 10 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi