-- Decision Tree
-- EM algorithm
-- Self-organizing Map
-- Growing Neural Gas
R.Chalasani and J.C.Principe. "Self-organizing maps with information theorelic learning, "Neurocomputing, vol. 147, pp. 3-14,2015.
where, k denotes the number of nodes in network.Ws denotes the reference vector, and σ denotes a kernel bandwidth.
Err ← Err+[CIM(v(l),w)]2
where, Gσ and hσes are as follows;
here, σ in Gσ and hσes are both same kernel bandwidth.
where, Δσ(l) is calculated as follow;
here, ρ denotes a scaling factor for the stability of topological network .
GNG-CIM with several kernel bandwidth condition
GNG-CIM (Num. of Nodes)
GNG-CIM (Node Distribution)