Application of neural networks using quadratic junctions in cluster analysis
In this paper, we explore an unsupervised learning algorithm for a class of neural networks with quadratic neural-type junctions. The objective of the networks incorporated with the proposed unsupervised learning algorithm is to cluster data. The detected clusters may be either hyperspherical-shaped or hyperellipsoidal-shaped. Two data sets are tested to illustrate the effectiveness of the proposed method.
neural networks cluster analysis unsupervised learning competitive learning