Fuzzy hyperline segment clustering neural network
Uday V. Kulkarni, T.R. Sontakke, A.B. Kulkarni · Electronics Letters · 2001
A fuzzy hyperline segment clustering neural network (FHLSCNN) and its learning algorithm is proposed. This algorithm can learn ill-defined nonlinear cluster boundaries in a few passes and is suitable for on-line adaptation. The FHLSCNN is superior compared to the fuzzy min-max clustering neural network (FMN) proposed by Simpson.