Back to Results
First PageMeta Content
Matrix theory / Estimation theory / Logarithms / Singular value decomposition / Matrix / Determinant / Eigenvalues and eigenvectors / Eigenvalue algorithm / Maximum likelihood / Algebra / Mathematics / Linear algebra


Comparing exact and approximate spatial auto-regression model solutions for spatial data analysis
Add to Reading List

Document Date: 2004-09-13 00:28:39


Open Document

File Size: 725,30 KB

Share Result on Facebook

Company

IBM / ABC / /

/

Facility

Finance E.J. Ourso College of Business Louisiana State University Baton Rouge / University of Minnesota / /

IndustryTerm

classical data mining algorithms / environmental management / pre-processing sub-stage / serial exact algorithm / transportation / portable software / parallel versions / real satellite / spatial data mining techniques / eigenvalue algorithm / golden section search / satellite images / model solution / approximate solutions / pre-processing / candidate approximate-semi-sparse solutions / spatial auto-regression model solution / model solutions / /

Organization

E.J. Ourso College of Business Louisiana State University Baton Rouge / Computer Engineering Department / Computer Science and Engineering Department / University of Minnesota / /

Person

David J / /

/

Position

SAR model for large geospatial data analysis / SAR model for large spatial data analysis problems / /

Product

ScaLAPACK / Regatta / /

ProgrammingLanguage

C / ML / /

Technology

eight processors / classical data mining algorithms / remote sensing / 1 The eigenvalue algorithm / Regatta processor / data mining / /

SocialTag