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An analysis of Kohonen's self-organizing maps using a system of energy functions

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00205972openalex-snapshot
Convergence properties of Kohonen's topology conserving maps: fluctuations, stability, and dimension selection
inferredcites →https://doi.org/10.1007/bf00288907openalex-snapshot
Self-organization of orientation sensitive cells in the striate cortex
inferredcites →https://doi.org/10.1007/bf00317973openalex-snapshot
Analysis of a simple self-organizing process
inferredcites →https://doi.org/10.1007/bf00320480openalex-snapshot
On the stationary state of Kohonen's self-organizing sensory mapping
inferredcites →https://doi.org/10.1007/bf00337288openalex-snapshot
Self-organized formation of topologically correct feature maps
inferredcites →https://doi.org/10.1063/1.36242openalex-snapshot
Topology conserving mappings for learning motor tasks
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Neural networks and physical systems with emergent collective computational abilities.
inferredcites →https://doi.org/10.1109/2.28openalex-snapshot
The 'neural' phonetic typewriter
inferredcites →https://doi.org/10.1109/icnn.1988.23838openalex-snapshot
Kohonen's self-organizing maps: exploring their computational capabilities
inferredcites →https://doi.org/10.1109/ijcnn.1989.118288openalex-snapshot
Self-organisation: a derivation from first principles of a class of learning algorithms
inferredcites →https://doi.org/10.1109/ijcnn.1989.118299openalex-snapshot
A self-organizing neural network for classifying sequences
inferredcites →https://doi.org/10.2307/1573081openalex-snapshot
Pattern Classification and Scene Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Quantitative properties of Kohonen's self‐organizing maps as adaptive vector quantizers
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A Comparative Study on Text Clustering Methods
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Analysis of the convergency of topology preserving neural networks on learning
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Stability of Self-Organizing Processes
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An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities
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Input Signals Normalization in Kohonen Neural Networks
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Self-organizing Maps
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Clustering and Neural Network Approaches
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Clustering and Neural Networks
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An Overview of SOM Literature
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Simultaneous Visualization and Clustering Methods as an Alternative to Kohonen Maps
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Analyzing phase transitions in high-dimensional self-organizing maps
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Self-organization of a one-dimensional Kohonen network with quantized weights and inputs
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Approximate geometry representations and sensory fusion
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SELF-ORGANIZING MAPS: OPHMIZATION APPROACHES
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Energy functions for self-organizing maps
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Self-Organizing Maps applied to ecological sciences
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Concerning the differentiability of the energy function in vector quantization algorithms
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Conformality in the self-organization network
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Smoothly distributed fuzzy c-means: a new self-organizing map
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Convergence property of topographic mapping formation from cell layer to cell layer through correlation learning rule
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Extended Self Organizing Feature Map: A Tagged Potential Field Approach
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Training the self-organizing feature map using hybrids of genetic and Kohonen methods
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