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20250213044538.0 |
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231224s1981 xx ||||| 00| ||eng c |
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|a pubmed25n0703.xml
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|a (DE-627)NLM211012521
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|a (NLM)21868994
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Biswas, G
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Evaluation of projection algorithms
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| 264 |
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|c 1981
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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 ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 02.10.2012
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| 500 |
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|a Date Revised 12.11.2019
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| 500 |
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|a published: Print
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| 500 |
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a A number of linear and nonlinear mapping algorithms for the projection of patterns from a high-dimensional space to two dimensions are available. These two-dimensional representations allow quick visual observation of a data set. A combination of two popular mapping algorithms-Sammon's mean-square error technique and the triangulation method-is proposed to overcome the limitations in the individual algorithms. Some factors which describe the goodness of a projection are described, and a comparison is made of six of these algorithms by running them on four data sets. The results obtained support the use of the proposed algorithm
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Jain, A K
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Dubes, R C
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 3(1981), 6 vom: 01. Juni, Seite 701-8
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnas
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| 773 |
1 |
8 |
|g volume:3
|g year:1981
|g number:6
|g day:01
|g month:06
|g pages:701-8
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| 912 |
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|a GBV_USEFLAG_A
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| 912 |
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|a SYSFLAG_A
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| 912 |
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|a GBV_NLM
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| 912 |
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|a GBV_ILN_350
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| 951 |
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|a AR
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| 952 |
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|d 3
|j 1981
|e 6
|b 01
|c 06
|h 701-8
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