scholarly journals WSN dynamic clustering for oil slicks monitoring

2012 ◽  
Author(s):  
Said Harchi ◽  
Jean-Philippe Georges ◽  
Thierry Divoux
Keyword(s):  
Dynamic Clustering

MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles

2021 ◽  
Vol 18 (7) ◽  
pp. 69-85
Author(s):  
Sankar Sennan ◽  
Somula Ramasubbareddy ◽  
Sathiyabhama Balasubramaniyam ◽  
Anand Nayyar ◽  
Chaker Abdelaziz Kerrache ◽  
...  
Keyword(s):  
Routing Protocol ◽  
Dynamic Clustering ◽  
Internet Of Vehicles

scholarly journals A Key Management Method Based on Dynamic Clustering for Sensor Networks

2015 ◽  
Vol 11 (7) ◽  
pp. 763675 ◽  
Author(s):  
Ying Zhang ◽  
Bingxin Zheng ◽  
Pengfei Ji ◽  
Jinde Cao
Keyword(s):  
Sensor Networks ◽  
Key Management ◽  
Dynamic Clustering ◽  
Management Method

Dynamic clustering of driven colloidal particles on a circular path

2015 ◽  
Vol 92 (3) ◽  
Author(s):  
Shogo Okubo ◽  
Syuhei Shibata ◽  
Yuriko Sassa Kawamura ◽  
Masatoshi Ichikawa ◽  
Yasuyuki Kimura
Keyword(s):  
Colloidal Particles ◽  
Circular Path ◽  
Dynamic Clustering

scholarly journals GrouPeer: Dynamic clustering of P2P databases

2009 ◽  
Vol 34 (1) ◽  
pp. 62-86 ◽  
Author(s):  
Verena Kantere ◽  
Dimitrios Tsoumakos ◽  
Timos Sellis ◽  
Nick Roussopoulos
Keyword(s):  
Dynamic Clustering

DGFCM: A New Dynamic Clustering Algorithm

2014 ◽  
Vol 556-562 ◽  
pp. 3945-3948
Author(s):  
Xin Qing Geng ◽  
Hong Yan Yang ◽  
Feng Mei Tao
Keyword(s):  
Vector Space ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Vector Space Model ◽  
Dynamic Clustering ◽  
Self Organizing Maps ◽  
Space Model ◽  
Fuzzy Clustering Algorithm ◽  
Present Algorithm ◽  
Self Organizing

This paper applies the dynamic self-organizing maps algorithm to determining the number of clustering. The text eigenvector is acquired based on the vector space model (VSM) and TF.IDF method. The number of clustering acquired by the dynamic self-organizing maps. The threshold GT control the network’s growth.Compared to the traditional fuzzy clustering algorithm, the present algorithm possesses higher precision. The example demonstrates the effectiveness of the present algorithm.

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