Numero
Statistical Framework to Define Subgroups in Complex Datasets
Description
High-dimensional datasets that do not exhibit a clear intrinsic clustered structure pose a challenge to conventional clustering algorithms. For this reason, we developed an unsupervised framework that helps scientists to better subgroup their datasets based on visual cues, please see Gao S, Mutter S, Casey A, Makinen V-P (2019) Numero: a statistical framework to define multivariable subgroups in complex population-based datasets, Int J Epidemiology, 48:369-37, <doi:10.1093/ije/dyy113>. The framework includes the necessary functions to construct a self-organizing map of the data, to evaluate the statistical significance of the observed data patterns, and to visualize the results.
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installed package size
installed size is 21.3Mb
sub-directories of 1Mb or more:
doc 5.5Mb
libs 15.3Mb
installed package size
installed size is 21.4Mb
sub-directories of 1Mb or more:
doc 5.5Mb
libs 15.5Mb
installed package size
installed size is 7.5Mb
sub-directories of 1Mb or more:
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libs 1.6Mb
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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
installed package size
installed size is 21.3Mb
sub-directories of 1Mb or more:
doc 5.5Mb
libs 15.3Mb
installed package size
installed size is 21.4Mb
sub-directories of 1Mb or more:
doc 5.5Mb
libs 15.5Mb
installed package size
installed size is 7.5Mb
sub-directories of 1Mb or more:
doc 5.5Mb
libs 1.6Mb