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Estimating An Optimal Neighborhood Size In The Spherical Self-Organizing Feature Map

https://doi.org/10.5281/zenodo.1056625
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What this work says

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

inferredcites →https://doi.org/10.1007/bf01900904openalex-extracted
Visualization of multidimensional image data sets using a neural network
inferredcites →https://doi.org/10.1016/0030-4018(79)90090-7openalex-extracted
Multiple-valued stationary state and its instability of the transmitted light by a ring cavity system
inferredcites →https://doi.org/10.1016/b978-044450270-4/50007-3openalex-extracted
Self-Organizing Maps on non-euclidean Spaces
inferredcites →https://doi.org/10.1016/s1088-467x(99)00013-xopenalex-extracted
SOM-based data visualization methods
inferredcites →https://doi.org/10.1109/72.728376openalex-extracted
Self-organizing feature maps with self-adjusting learning parameters
inferredcites →https://doi.org/10.1109/72.846731openalex-extracted
Clustering of the self-organizing map
inferredcites →https://doi.org/10.1137/1.9780898719697openalex-extracted
Rank-Deficient and Discrete Ill-Posed Problems

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cem.1265openalex-snapshot
Modeling and predicting binding affinity of phencyclidine‐like compounds using machine learning methods
inferred← citeshttps://doi.org/10.1007/978-3-642-42042-9_94openalex-snapshot
Distance Metrics for Time-Series Data with Concentric Multi-Sphere Self Organizing Maps
inferred← citeshttps://doi.org/10.1016/j.jas.2006.12.010openalex-snapshot
Telling a non-linear story: the exploration of micro-artefacts’ non-linear structure
inferred← citeshttps://doi.org/10.1109/lindi.2012.6319492openalex-snapshot
Investigating the quality of different Self-Organizing Map topologies for complex data
inferred← citeshttps://doi.org/10.2174/1874912701205010006openalex-snapshot
Reviewing Non-Linear Micro-artefacts' Structure
inferred← citeshttps://doi.org/10.21917/ijsc.2018.0243openalex-snapshot
FOUR-LAYER SPHERICAL SELF-ORGANIZED MAPS NEURAL NETWORKS TRAINED BY RECIRCULATION TO SIMULATE PERCEPTION AND ABSTRACTION ACTIVITY - APPLICATION TO PATTERNS OF RAINFALL GLOBAL REANALYSIS
inferred← citeshttps://doi.org/10.5772/13996openalex-snapshot
Is It Visible? Micro-Artefacts' Non-Linear Structure and Natural Formation Processes
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