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在“
Elsevier电子期刊
”中,
命中:
2,882
条,耗时:0.035018 秒
在所有数据库中总计命中:
26,834
条
1.
K
NCM: Kernel Neutrosophic c-
Means
Clustering
作者:
Yaman A
k
bulut
a
;
Abdul
k
adir Şengü
;
r
a
;
Yanhui Guo
b
;
K
emal Polat
c
;
k
emal_polat2003@yahoo.com
关键词:
Data
clustering
;
Fuzzy
clustering
;
Neutrosophic c-
means
;
K
ernel function
刊名:Applied Soft Computing
出版年:2017
2.
Sparse learning based fuzzy c-
means
clustering
作者:
Jing Gu
;
xuer6126@126.com
;
Licheng Jiao
;
Shuyuan Yang
;
Jiaqi Zhao
关键词:
Sparse representation
;
Fuzzy c-
means
;
Clustering
;
Set operations
刊名:
K
nowledge-Based Systems
出版年:2017
3.
Arrhythmia classification using Mahalanobis distance based improved Fuzzy C-
Means
clustering
for mobile health monitoring systems
作者:
Nur Al Hasan Haldar
a
Author Vitae
;
Farru
k
h Aslam Khan
a
Author Vitae
;
Aftab Ali
a
Author Vitae
;
Haider Abbas
a
;
b
;
haidera@
k
th.se
Author Vitae
关键词:
E-Health
;
Arrhythmia
;
Fuzzy C-
Means
clustering
;
Body area networ
k
;
Mahalanobis-Taguchi System (MTS)
刊名:Neurocomputing
出版年:2017
4.
An improved overlapping
k
-
means
clustering
method for medical applications
作者:
Sina
K
hanmohammadi
;
a
;
s
k
hanmo1@binghamton.edu" class="auth_mail" title="E-mail the corresponding author
;
Naiier Adibeig
b
;
adibeig.n@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Samaneh Shanehbandy
b
;
samane.shanebandy@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Overlapping
clustering
;
Overlapping
k
-
means
;
K
-harmonic
means
;
FBCubed
;
Data Mining
;
Medical informatics
刊名:Expert Systems with Applications
出版年:2017
5.
Measuring the congruence of fuzzy partitions in fuzzy c-
means
clustering
作者:
Abdul Suleman
abdul.suleman@iscte.pt
关键词:
Fuzzy
clustering
;
Fuzzy c-
means
;
Reconstruction
;
Cluster validity index
;
Information criterion
刊名:Applied Soft Computing
出版年:2017
6.
Generalized entropy based possibilistic fuzzy C-
Means
for
clustering
noisy data and its convergence proof
作者:
S. As
k
ari
a
Author Vitae
;
N. Montazerin
a
;
mntzrn@aut.ac.ir
;
mntzrn@hotmail.com
Author Vitae
;
M.H. Fazel Zarandi
b
Author Vitae
;
E. Ha
k
imi
c
Author Vitae
关键词:
Fuzzy C-
Means
;
Possibilistic C-
Means
;
Entropy C-
Means
;
Noise
;
Noisy data
;
Fuzzy
clustering
;
Convergence proof
刊名:Neurocomputing
出版年:2017
7.
A
K
-partitioning algorithm for
clustering
large-scale spatio-textual data
作者:
Dong-Wan Choi
a
;
dongwanc@sfu.ca
;
Chin-Wan Chung
b
;
c
;
chung_cw@
k
aist.ac.
k
r
关键词:
Spatio-textual similarity
;
K
-
means
clustering
;
K
-medoids
clustering
;
K
-prototypes
clustering
;
Expected distance
;
Grid partitioning
刊名:Information Systems
出版年:2017
8.
An efficient approximation to the
K
-
means
clustering
for massive data
作者:
Marco Capó
;
;
a
;
mcapo@bcamath.org
;
Aritz Pé
;
rez
a
;
aperez@bcamath.org
;
Jose A. Lozano
a
;
b
;
ja.lozano@ehu.eus
关键词:
K
-
means
;
Clustering
;
K
-
means
++
;
Minibatch
K
-
means
刊名:
K
nowledge-Based Systems
出版年:2017
9.
Household monthly electricity consumption pattern mining: A fuzzy
clustering
-based model and a case study
作者:
K
aile Zhou
a
;
b
;
zhou
k
aile@hfut.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
k
ailezhou@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Shanlin Yang
a
;
b
;
Zhen Shao
a
关键词:
Electricity consumption pattern
;
Households
;
Fuzzy
clustering
;
Smart grid
刊名:Journal of Cleaner Production
出版年:2017
10.
Improved and simplified inapproximability for
k
-
means
作者:
Euiwoong Lee
1
;
Melanie Schmidt
;
2
;
melanie.schmidt@tu-dortmund.de
;
John Wright
3
关键词:
k
-
Means
;
Hardness of approximation
;
Clustering
;
Computational complexity
刊名:Information Processing Letters
出版年:2017
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2
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5
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7
8
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