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Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps

IEEE transaction on neural networks and learning systems, 2009-04, Vol.20 (4), p.549-562

2009

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A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures

IEEE transactions on cybernetics, 2011-08, Vol.41 (4), p.1039-1053

2011

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A reconfigurable neuroprocessor for self-organizing feature maps

Neurocomputing (Amsterdam), 2013-07, Vol.112, p.189-199

2013

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Relevance-Based Feature Extraction for Hyperspectral Images

IEEE transaction on neural networks and learning systems, 2008-04, Vol.19 (4), p.658-672

2008

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Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data

IEEE transaction on neural networks and learning systems, 2007-05, Vol.18 (3), p.786-797

2007

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An adaptive similarity measure for classification of hyperspectral signatures

IEEE geoscience and remote sensing letters, 2013-03, Vol.10 (2), p.381-385

2013

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Neural maps in remote sensing image analysis

Neural networks, 2003-04, Vol.16 (3), p.389-403

2003

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Mapping of Spectral Variations on the Surface of Mars from High Spectral Resolution Telescopic Images

Icarus (New York, N.Y. 1962), 1996-11, Vol.124 (1), p.280-295

1996

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The gradient of galactic cosmic rays at the solar-wind termination shock

The Astrophysical journal, 1993-03, Vol.405 (2), p.782-786

1993

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A reconfigurable neuroprocessor for self-organizing feature maps: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Neurocomputing (Amsterdam), 2013, Vol.112, p.189-199

2013

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Theoretical and Applied Aspects of the Self-Organizing Maps

Advances in Intelligent Systems and Computing, 2016, Vol.428, p.3-26

2016

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Aggregating Self-Organizing Maps with Topology Preservation

Advances in Intelligent Systems and Computing, 2016, Vol.428 (Chapter 2), p.27-37

2016

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Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.217-226

2016

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Classification of asteroid spectra using a neural network

Journal of Geophysical Research, 1994-05, Vol.99 (E5), p.10847-10865

1994

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Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.329-339

2016

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Self-Adjusting Reject Options in Prototype Based Classification

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.269-279

2016

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A Scalable Flexible SOM NoC-Based Hardware Architecture

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.165-175

2016

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SOM Quality Measures: An Efficient Statistical Approach

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.49-59

2016

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LVQ and SVM Classification of FDG-PET Brain Data

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.205-215

2016

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Functional Representation of Prototypes in LVQ and Relevance Learning

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.317-327

2016

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On Self-Organizing Map and Rapidly-Exploring Random Graph in Multi-Goal Planning

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.143-153

2016

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Complex Variants of GLVQ Based on Wirtinger's Calculus

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.293-303

2016

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SOM and LVQ Classification of Endovascular Surgeons Using Motion-Based Metrics

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.227-237

2016

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Novel Algorithms for Optimal Compression Using Classification Metrics

2008 IEEE Aerospace Conference, 2008, p.1-10

2008

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Segment Growing Neural Gas for Nonlinear Time Series Analysis

Advances in Self-Organizing Maps and Learning Vector Quantization, 2016, Vol.428, p.107-117

2016

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Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps

A Validity Index for Prototype-Based Clustering of Data Sets With Complex Cluster Structures

A reconfigurable neuroprocessor for self-organizing feature maps

Relevance-Based Feature Extraction for Hyperspectral Images

Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data

An adaptive similarity measure for classification of hyperspectral signatures

Neural maps in remote sensing image analysis

Mapping of Spectral Variations on the Surface of Mars from High Spectral Resolution Telescopic Images

The gradient of galactic cosmic rays at the solar-wind termination shock

A reconfigurable neuroprocessor for self-organizing feature maps: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Theoretical and Applied Aspects of the Self-Organizing Maps

Aggregating Self-Organizing Maps with Topology Preservation

Mutual Connectivity Analysis (MCA) for Nonlinear Functional Connectivity Network Recovery in the Human Brain Using Convergent Cross-Mapping and Non-metric Clustering

Classification of asteroid spectra using a neural network

Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis

Self-Adjusting Reject Options in Prototype Based Classification

A Scalable Flexible SOM NoC-Based Hardware Architecture

SOM Quality Measures: An Efficient Statistical Approach

LVQ and SVM Classification of FDG-PET Brain Data

Functional Representation of Prototypes in LVQ and Relevance Learning

On Self-Organizing Map and Rapidly-Exploring Random Graph in Multi-Goal Planning

Complex Variants of GLVQ Based on Wirtinger's Calculus

SOM and LVQ Classification of Endovascular Surgeons Using Motion-Based Metrics

Novel Algorithms for Optimal Compression Using Classification Metrics

Segment Growing Neural Gas for Nonlinear Time Series Analysis

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