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» Applying Discrete PCA in Data Analysis
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CAIP
1997
Springer
125views Image Analysis» more  CAIP 1997»
13 years 11 months ago
An Algorithm for Intrinsic Dimensionality Estimation
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...
Jörg Bruske, Gerald Sommer
BMCBI
2005
167views more  BMCBI 2005»
13 years 7 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
PODS
2012
ACM
240views Database» more  PODS 2012»
11 years 10 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney
PERVASIVE
2010
Springer
14 years 2 months ago
Common Sense Community: Scaffolding Mobile Sensing and Analysis for Novice Users
As sensing technologies become increasingly distributed and democratized, citizens and novice users are becoming responsible for the kinds of data collection and analysis that have...
Wesley Willett, Paul M. Aoki, Neil Kumar, Sushmita...
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 4 months ago
Optimal Distance Bounds on Time-Series Data.
Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
Michail Vlachos, Philip S. Yu, Suleyman S. Kozat