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» A Planner for Exploratory Data Analysis
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ESANN
2003
13 years 9 months ago
High-dimensional labeled data analysis with Gabriel graphs
We propose the use of the Gabriel graph for the exploratory analysis of potentially high dimensional labeled data. Gabriel graph is a subgraph of the Delaunay triangulation, which ...
Michaël Aupetit
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
14 years 5 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 6 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
JMLR
2012
11 years 10 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
IV
2007
IEEE
160views Visualization» more  IV 2007»
14 years 2 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith