Based on ranking prior knowledge of monotonicity,each observation attribute should be monotonic with the other observation attributes for unsupervised ranking problems.Otherwise,the attribute would be irrelevant with ranking and should be assumed to a redundant attribute.Based on the ranking mutual information,which reflects the monotonic degree between observation attributes and the order sequence,mean ranking mutual information is proposed to measure the monotonicity between observation attributes.The most relevant attributes should be with the biggest ranking mutual information.
LI Chunguo
,
ZHANG Chunqin
,
LI Haifeng
. Unsupervised feature selection based on ranking mutual information[J]. Journal of Hebei University(Natural Science Edition), 2020
, 40(2)
: 200
-204
.
DOI: 10.3969/j.issn.1000-1565.2020.02.013
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