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» Stahel-Donoho estimation for high-dimensional data
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SSD
2005
Springer
122views Database» more  SSD 2005»
13 years 11 months ago
Selectivity Estimation of High Dimensional Window Queries via Clustering
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
Christian Böhm, Hans-Peter Kriegel, Peer Kr&o...
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 6 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
PODS
1997
ACM
182views Database» more  PODS 1997»
13 years 10 months ago
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Stefan Berchtold, Christian Böhm, Daniel A. K...
IDEAL
2005
Springer
13 years 11 months ago
Cluster Analysis of High-Dimensional Data: A Case Study
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
Richard Bean, Geoffrey J. McLachlan
ECML
2006
Springer
13 years 9 months ago
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Bojun Yan, Carlotta Domeniconi