Mar 5, 2014 · The self-organizing map (SOM) is a prominent neural network model that has found wide application in a spectrum of domains.
... SOM consists of three processes, namely competition, cooperation, and adaptation. The three main processes of SOM can be defined in the following form [11] ...
The overall goal of this survey is to present a comprehensive comparison of these networks, in terms of their primitive components and properties. We ...
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Abstract—In this paper, we present a novel algorithm for constructing a maximally informative path for a robot in an information gathering task.
Missing: oriented survey.
The self-organizing map (SOM) is one such data visualization method. We propose a spherical tree-structured SOM (S-TS-SOM), which speeds up the search for ...
We merge the concepts of Adaptive Data Structures and Self-Organizing Maps. ... This new scheme enhances the capabilities of a Tree-based SOM, i.e., the TTOSOM.
We propose a variation of the self-organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold.
A topographic map is a two-dimensional, nonlinear approximation of a potentially high-dimensional data manifold, which makes it an appealing instrument for ...
A self-organizing map (SOM) or self-organizing feature map (SOFM) is an unsupervised machine learning technique used to produce a low-dimensional (typically ...
Nov 20, 2020 · John Oommen. Topology-oriented self-organizing maps: a survey. Pattern Analysis and Applications, 17(2):223–248, 3 2014.