419 lines
8.3 KiB
Text
419 lines
8.3 KiB
Text
% This Fundamental Clustering Problems Suite (FCPS) may serve as a minimal test for new invented cluster algorithms.
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%
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% Every new invented algorithm should at least cluster the FCPS correctly.
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%
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% The data sets may be used as long as the following citation is referenced in any publication
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% concering any of this data:
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%
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% Alfred Ultsch, Clustering with SOM: U*C, in Proc. Workshop on Self Organizing Feature Maps ,pp 31-37 Paris 2005.
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%
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% main problem: different variances and inter cluster distances
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%
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@relation lsun
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@ATTRIBUTE x REAL
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@ATTRIBUTE y REAL
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@ATTRIBUTE class {1,2,3}
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@data
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|
|
2.288566,2.79594,3
|
|
3.37523,2.588055,3
|
|
3.366669,3.025123,3
|
|
2.849598,2.751661,3
|
|
2.636088,2.056805,3
|
|
2.9383,2.321199,3
|
|
3.080906,2.209603,3
|
|
2.404517,2.641618,3
|
|
3.248655,2.297291,3
|
|
|