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在“
Elsevier电子期刊
”中,
命中:
1
条,耗时:0.1508959 秒
1.
Density-based geodesic distance for identifying the noisy and nonlinear clusters
作者:
Jaehong Yu
a
;
dream
er7744@korea.ac.kr"
class
="
auth
_
mail
"
title
="E-
mail
the
corresponding
auth
or
Author
Vitae
;
Seoung Bum Kim
a
;
b
;
sbkim1@korea.ac.kr"
class
="
auth
_
mail
"
title
="E-
mail
the
corresponding
auth
or
Author
Vitae
关键词:
Geodesic distance
;
Mutual neighborhood-based density coefficient
;
Noisy data clustering
;
Nonlinearity
刊名:Information Sciences
出版年:2016
1
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2016年(1)
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