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» On High Dimensional Skylines
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CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
14 years 3 months ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
BTW
2009
Springer
133views Database» more  BTW 2009»
14 years 1 months ago
High-Dimensional Indexing for Multimedia Features
Abstract: Efficient content-based similarity search in large multimedia databases requires efficient query processing algorithms for many practical applications. Especially in hi...
Ira Assent, Stephan Günnemann, Hardy Kremer, ...
PR
2006
116views more  PR 2006»
13 years 9 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
SIGMOD
2001
ACM
104views Database» more  SIGMOD 2001»
14 years 10 months ago
Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data
Approximating the joint data distribution of a multi-dimensional data set through a compact and accurate histogram synopsis is a fundamental problem arising in numerous practical ...
Amol Deshpande, Minos N. Garofalakis, Rajeev Rasto...
TSP
2008
117views more  TSP 2008»
13 years 9 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman