A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions

In this paper, we show that the shape, size and location of the receptive field around each instance are different and decided by the distribution of training data in a min-max modular network with Gaussian-zero-crossing functions. Based on this property, we propose a new supervised clustering algorithm which has the following features: First, the… CONTINUE READING