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Title: Visual cluster analysis and pattern recognition template and methods

Abstract

A method of clustering using a novel template to define a region of influence. Using neighboring approximation methods, computation times can be significantly reduced. The template and method are applicable and improve pattern recognition techniques.

Inventors:
 [1];  [1]
+ Show Inventor Affiliations
  1. Albuquerque, NM
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); American Telephone and Telegraph Company
Sponsoring Org.:
USDOE
OSTI Identifier:
872276
Patent Number(s):
5901247
Assignee:
Sandia Corporation (Albuquerque, NM)
DOE Contract Number:  
AC04-76DP00789; AC04-94AL85000
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
visual; cluster; analysis; pattern; recognition; template; methods; method; clustering; novel; define; region; influence; neighboring; approximation; computation; times; significantly; reduced; applicable; improve; techniques; significantly reduce; pattern recognition; significantly reduced; cluster analysis; /382/

Citation Formats

Osbourn, Gordon Cecil, and Martinez, Rubel Francisco. Visual cluster analysis and pattern recognition template and methods. United States: N. p., 1999. Web.
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Osbourn, Gordon Cecil, & Martinez, Rubel Francisco. Visual cluster analysis and pattern recognition template and methods. United States.
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Osbourn, Gordon Cecil, and Martinez, Rubel Francisco. Fri . "Visual cluster analysis and pattern recognition template and methods". United States. https://www.osti.gov/servlets/purl/872276.
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@article{osti_872276,
title = {Visual cluster analysis and pattern recognition template and methods},
author = {Osbourn, Gordon Cecil and Martinez, Rubel Francisco},
abstractNote = {A method of clustering using a novel template to define a region of influence. Using neighboring approximation methods, computation times can be significantly reduced. The template and method are applicable and improve pattern recognition techniques.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 1999},
month = {Fri Jan 01 00:00:00 EST 1999}
}
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Works referenced in this record:

The use of graphs of elliptical influence in visual hierarchical clustering
book, January 2005

Graph theoretical clustering based on limited neighbourhood sets
journal, January 1982

The relative neighbourhood graph of a finite planar set
journal, January 1980

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