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|a (TOE)ost366463
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|a (TOE)366463
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|a E 1.99:ORNL/TM--13114
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|a E 1.99:ORNL/TM--13114
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| 088 |
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|a ORNL/TM--13114
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| 088 |
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|a DE96014594
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| 245 |
0 |
0 |
|a Large datasets
|h [electronic resource] :
|b Segmentation, feature extraction, and compression.
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| 260 |
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|a Washington, D.C. :
|b United States. Dept. of Energy ;
|a Oak Ridge, Tenn. :
|b distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
|c 1996.
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| 300 |
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|a 86 p.
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| 336 |
|
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|a text
|b txt
|2 rdacontent.
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| 337 |
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|a computer
|b c
|2 rdamedia.
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| 338 |
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|a online resource
|b cr
|2 rdacarrier.
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| 500 |
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|a Published through the Information Bridge: DOE Scientific and Technical Information.
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| 500 |
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|a 07/01/1996.
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| 500 |
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|a "ORNL/TM--13114"
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| 500 |
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|a "DE96014594"
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| 500 |
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|a Morris, M.D.; Fedorov, V.; Lawkins, W.F.; Downing, D.J.; Ostrouchov, G.
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| 520 |
3 |
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|a Large data sets with more than several mission multivariate observations (tens of megabytes or gigabytes of stored information) are difficult or impossible to analyze with traditional software. The amount of output which must be scanned quickly dilutes the ability of the investigator to confidently identify all the meaningful patterns and trends which may be present. The purpose of this project is to develop both a theoretical foundation and a collection of tools for automated feature extraction that can be easily customized to specific applications. Cluster analysis techniques are applied as a final step in the feature extraction process, which helps make data surveying simple and effective.
|
| 536 |
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|b AC05-96OR22464.
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| 650 |
|
7 |
|a Data Analysis.
|2 local.
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| 650 |
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7 |
|a Algorithms.
|2 local.
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| 650 |
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7 |
|a Regression Analysis.
|2 local.
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| 650 |
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7 |
|a Kernels.
|2 local.
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| 650 |
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7 |
|a Data Covariances.
|2 local.
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| 650 |
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7 |
|a Statistical Models.
|2 local.
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| 650 |
|
7 |
|a Mathematics, Computers, Information Science, Management, Law, Miscellaneous.
|2 edbsc.
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| 710 |
2 |
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|a Oak Ridge National Laboratory.
|b .
|4 res.
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| 710 |
2 |
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|a United States.
|b Department of Energy.
|4 spn.
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| 710 |
2 |
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|a United States.
|b Department of Energy.
|b Office of Scientific and Technical Information.
|4 dst.
|
| 856 |
4 |
0 |
|u http://www.osti.gov/servlets/purl/366463-IxzkeH/webviewable/
|z Online Access
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| 907 |
|
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|a .b56515984
|b 03-06-23
|c 12-20-09
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| 998 |
|
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|a web
|b 12-20-09
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|
| 952 |
f |
f |
|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e E 1.99:ORNL/TM--13114
|h Superintendent of Documents classification
|i web
|n 1
|
