This paper describes a data organization system and genuine content-addressable memory
called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where …

Be they random or non-random, iterative methods have progressively gained sway with the
development of computer science and automatic control theory. Thus, being easy to …

Abstract The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount
of interest among researches and practitioners in a wide variety of elds. The SOM and a …

We present a self-organizing Kohonen neural network for quantizing colour graphics
images. The network is compared with existing algorithmic methods for colour quantization …

We propose a new method (SQM) for numerical integration of C α functions (α∈(0, 2])
defined on a convex subset C of Rd with respect to a continuous distribution μ. It relies on a …

The SOM algorithm is very astonishing. On the one hand, it is very simple to write down and
to simulate, its practical properties are clear and easy to observe. However, on the other …

Self-organisation in Kohonen's self-organising map (SOM) is analysed by considering the
neuron weights to be a Markov process. While many works exist which analyse the one …

An algorithm of evolving self-organizing map (ESOM) is proposed as a dynamic version of
the Kohonen self-organizing map, where network structure is evolved in an online adaptive …

Vector Quantization is the name given to discretization methods based on nearest
neighbour search. It was developed in the 1950s, mostly in signal processing and …

Understanding high-dimensional real world data usually requires learning the structure of
the data space. The structure may contain high-dimensional clusters that are related in …