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在“
Elsevier电子期刊
”中,
命中:
2,153
条,耗时:0.0139921 秒
在所有数据库中总计命中:
4,169
条
1.
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
2.
Multi-view
fuzzy
clustering
with minimax optimization for effective
clustering
of data from multiple sources
作者:
Yangtao Wang
;
a
;
wangyt@i2r.a-star.edu.sg
;
Lihui Chen
b
;
ELHCHEN@ntu.edu.sg
关键词:
Multi-view
clustering
;
Fuzzy
clustering
;
Soft
clustering
;
Minimax optimization
刊名:Expert Systems with Applications
出版年:2017
3.
Dental segmentation from X-ray images using semi-supervised
fuzzy
clustering
with spatial constraints
作者:
Le Hoang Son
a
;
b
;
sonlh@vnu.edu.vn
;
Tran Manh Tuan
c
;
tmtuan@ictu.edu.vn
关键词:
Dental features
;
Dental image segmentation
;
Fuzzy
clustering
;
Semi-supervised
fuzzy
clustering
;
X-ray images
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
4.
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:Knowledge-Based Systems
出版年:2017
5.
Household monthly electricity consumption pattern mining: A
fuzzy
clustering
-based model and a case study
作者:
Kaile Zhou
a
;
b
;
zhoukaile@hfut.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
kailezhou@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
6.
Discovering knowledge from data
clustering
using automatically-defined interval type-2
fuzzy
predicates
作者:
Diego S. Comas
a
;
b
;
diego.comas@fi.mdp.edu.ar" class="auth_mail" title="E-mail the corresponding author
;
diegoscomas@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Gustavo J. Meschino
c
;
gmeschin@fi.mdp.edu.ar" class="auth_mail" title="E-mail the corresponding author
;
Ann Nowé
;
d
;
ann.nowe@vub.ac.be" class="auth_mail" title="E-mail the corresponding author
;
Virginia L. Ballarin
b
;
vballari@fi.mdp.edu.ar" class="auth_mail" title="E-mail the corresponding author
关键词:
Fuzzy
predicates
;
Interval type-2
fuzzy
logic
;
Clustering
;
Knowledge-discovering
;
Vagueness
刊名:Expert Systems with Applications
出版年:2017
7.
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
;
Farrukh Aslam Khan
a
Author Vitae
;
Aftab Ali
a
Author Vitae
;
Haider Abbas
a
;
b
;
haidera@kth.se
Author Vitae
关键词:
E-Health
;
Arrhythmia
;
Fuzzy
C-Means
clustering
;
Body area network
;
Mahalanobis-Taguchi System (MTS)
刊名:Neurocomputing
出版年:2017
8.
Generalized entropy based possibilistic
fuzzy
C-Means for
clustering
noisy data and its convergence proof
作者:
S. Askari
a
Author Vitae
;
N. Montazerin
a
;
mntzrn@aut.ac.ir
;
mntzrn@hotmail.com
Author Vitae
;
M.H. Fazel Zarandi
b
Author Vitae
;
E. Hakimi
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
9.
A neuro-
fuzzy
classification technique using dynamic
clustering
and GSS rule generation
作者:
Heisnam Rohen Singh
;
rohenheisnam87@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Saroj Kr. Biswas
;
Biswajit Purkayastha
关键词:
Feature selection
;
Neuro-
fuzzy
;
Dynamic
clustering
;
Linguistic variables
;
Golden section search method
刊名:Journal of Computational and Applied Mathematics
出版年:2017
10.
Clustering
techniques for
Fuzzy
Cognitive Map design for time series modeling
作者:
Wladyslaw Homenda
a
;
b
;
homenda@mini.pw.edu.pl
Author Vitae
;
Agnieszka Jastrzebska
a
;
A.Jastrzebska@mini.pw.edu.pl
Author Vitae
关键词:
Fuzzy
Cognitive Maps
;
Fuzzy
clustering
;
Time series
刊名:Neurocomputing
出版年:2017
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