SOMMER: self-organising maps for education and research

Michael Schmuker; Florian Schwarte; André Brück; Ewgenij Proschak; Yusuf Tanrikulu; Alireza Givehchi; Kai Scheiffele; Gisbert Schneider

doi:10.1007/s00894-006-0140-0

SOMMER: self-organising maps for education and research

Michael Schmuker, Florian Schwarte, André Brück, Ewgenij Proschak, Yusuf Tanrikulu, Alireza Givehchi, Kai Scheiffele, Gisbert Schneider

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Various map topologies are implemented for planar rectangular, toroidal, cubic-surface and spherical projections. The software allows for visualization of the training process, which has been shown to be particularly valuable for teaching purposes.

Original language	English
Pages (from-to)	225-8
Number of pages	4
Journal	Journal of Molecular Modeling
Volume	13
Issue number	1
DOIs	https://doi.org/10.1007/s00894-006-0140-0
Publication status	Published - Jan 2007

Keywords

Algorithms
Artificial Intelligence
Chemistry, Pharmaceutical
Computer Graphics
Computer Simulation
Drug Design
Models, Chemical
Models, Molecular
Models, Statistical
Neural Networks (Computer)
Pattern Recognition, Automated
Programming Languages
Software

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10.1007/s00894-006-0140-0

Cite this

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abstract = "SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Various map topologies are implemented for planar rectangular, toroidal, cubic-surface and spherical projections. The software allows for visualization of the training process, which has been shown to be particularly valuable for teaching purposes.",

keywords = "Algorithms, Artificial Intelligence, Chemistry, Pharmaceutical, Computer Graphics, Computer Simulation, Drug Design, Models, Chemical, Models, Molecular, Models, Statistical, Neural Networks (Computer), Pattern Recognition, Automated, Programming Languages, Software",

author = "Michael Schmuker and Florian Schwarte and Andr{\'e} Br{\"u}ck and Ewgenij Proschak and Yusuf Tanrikulu and Alireza Givehchi and Kai Scheiffele and Gisbert Schneider",

year = "2007",

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doi = "10.1007/s00894-006-0140-0",

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T2 - self-organising maps for education and research

AU - Schmuker, Michael

AU - Schwarte, Florian

AU - Brück, André

AU - Proschak, Ewgenij

AU - Tanrikulu, Yusuf

AU - Givehchi, Alireza

AU - Scheiffele, Kai

AU - Schneider, Gisbert

PY - 2007/1

Y1 - 2007/1

N2 - SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Various map topologies are implemented for planar rectangular, toroidal, cubic-surface and spherical projections. The software allows for visualization of the training process, which has been shown to be particularly valuable for teaching purposes.

AB - SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Various map topologies are implemented for planar rectangular, toroidal, cubic-surface and spherical projections. The software allows for visualization of the training process, which has been shown to be particularly valuable for teaching purposes.

KW - Algorithms

KW - Artificial Intelligence

KW - Chemistry, Pharmaceutical

KW - Computer Graphics

KW - Computer Simulation

KW - Drug Design

KW - Models, Chemical

KW - Models, Molecular

KW - Models, Statistical

KW - Neural Networks (Computer)

KW - Pattern Recognition, Automated

KW - Programming Languages

KW - Software

U2 - 10.1007/s00894-006-0140-0

DO - 10.1007/s00894-006-0140-0

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SN - 1610-2940

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SP - 225

EP - 228

JO - Journal of Molecular Modeling

JF - Journal of Molecular Modeling

IS - 1

ER -

SOMMER: self-organising maps for education and research

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Keywords

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