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A New Fuzzy Belonging-based Multi-view K-means Clustering A..:
, In:
2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
,
Zhao, Junda
;
Cai, Weiling
;
Ge, Yizhen
. - p. 0482-0487 , 2019
Link:
https://doi.org/10.1109/IEMCON.2019.8936184
RT T1
2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
: T1
A New Fuzzy Belonging-based Multi-view K-means Clustering Algorithm
UL https://suche.suub.uni-bremen.de/peid=ieee-8936184&Exemplar=1&LAN=DE A1 Zhao, Junda A1 Cai, Weiling A1 Ge, Yizhen A1 Zhang, Lijuan YR 2019 SN 2644-3163 K1 Clustering algorithms K1 Partitioning algorithms K1 Time complexity K1 Data analysis K1 Computer science K1 Clustering methods K1 Optimization K1 Data Cluster K1 Fuzzy Belongness K1 Multi-View Data K1 K-Means Cluster SP 0482 OP 0487 LK http://dx.doi.org/https://doi.org/10.1109/IEMCON.2019.8936184 DO https://doi.org/10.1109/IEMCON.2019.8936184 SF ELIB - SuUB Bremen
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