scholarly journals Gene clustering using self-organizing maps and particle swarm optimization

Author(s):  
Xiang Xiao ◽  
E.R. Dow ◽  
R. Eberhart ◽  
Z.B. Miled ◽  
R.J. Oppelt
2004 ◽  
Vol 16 (9) ◽  
pp. 895-915 ◽  
Author(s):  
Xiang Xiao ◽  
Ernst R. Dow ◽  
Russell Eberhart ◽  
Zina Ben Miled ◽  
Robert J. Oppelt

Author(s):  
Leon Palafox ◽  
◽  
Hideki Hashimoto

This paper proposes a paradigm in the forensic area for detecting and categorizing human activities. The presented approach uses five base variables, referred to as 4W1H (“Who,” “When,” “What,” “Where,” and “How”) to describe the context in an environment. The proposed system usesself-organizing mapsto classify movements for the “How” variable of 4W1H, as well asparticle swarm optimization clusteringtechniques for the grouping (clustering) of data obtained from observations. The paper describes the hardware settings required for detecting these variables and the system designed to do the sensing.


IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 24495-24502 ◽  
Author(s):  
Sara Tehsin ◽  
Saad Rehman ◽  
Muhammad Omer Bin Saeed ◽  
Farhan Riaz ◽  
Ali Hassan ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document