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» Spatial Clustering of Galaxies in Large Datasets
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CORR
2002
Springer
99views Education» more  CORR 2002»
8 years 10 months ago
Spatial Clustering of Galaxies in Large Datasets
Alexander S. Szalay, Tamas Budavari, Andrew Connol...
AI
2005
Springer
9 years 3 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»
9 years 3 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»
8 years 8 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»
9 years 4 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
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