Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 33)

H-INDEX

(FIVE YEARS 2)

Published By Springer International Publishing

9783030196417, 9783030196424

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Self-Organizing Maps with Convolutional Layers

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_3 ◽

2019 ◽

pp. 23-32 ◽

Cited By ~ 2

Author(s):

Lars Elend ◽

Oliver Kramer

Keyword(s):

Self Organizing Maps ◽

Self Organizing

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Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_28 ◽

2019 ◽

pp. 285-293

Author(s):

Camden Jansen ◽

Ali Mortazavi

Keyword(s):

Self Organizing Maps ◽

Higher Dimensional ◽

Self Organizing

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LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_13 ◽

2019 ◽

pp. 130-139

Author(s):

Diego P. Sousa ◽

Guilherme A. Barreto ◽

Charles C. Cavalcante ◽

Cláudio M. S. Medeiros

Keyword(s):

Condition Monitoring ◽

Induction Motors ◽

Performance Comparison ◽

A Performance

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Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_8 ◽

2019 ◽

pp. 80-89

Author(s):

Alberto Nogales ◽

Álvaro José García-Tejedor ◽

Noemy Martín Sanz ◽

Teresa de Dios Alija

Keyword(s):

Higher Education ◽

Feature Analysis ◽

Self Organizing Maps ◽

Self Organizing

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Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_33 ◽

2019 ◽

pp. 334-339

Author(s):

Niina Gen ◽

Tokutaka Heizo ◽

Ohkita Masaaki ◽

Kasezawa Nobuhiko

Keyword(s):

Data Analysis ◽

Health Data

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Variants of Fuzzy Neural Gas

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_26 ◽

2019 ◽

pp. 261-270

Author(s):

Tina Geweniger ◽

Thomas Villmann

Keyword(s):

Neural Gas ◽

Fuzzy Neural

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Subspace Quantization on the Grassmannian

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_25 ◽

2019 ◽

pp. 251-260

Author(s):

Shannon Stiverson ◽

Michael Kirby ◽

Chris Peterson

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Look and Feel What and How Recurrent Self-Organizing Maps Learn

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_1 ◽

2019 ◽

pp. 3-12 ◽

Cited By ~ 1

Author(s):

Jérémy Fix ◽

Hervé Frezza-Buet

Keyword(s):

Self Organizing Maps ◽

Self Organizing

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When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_14 ◽

2019 ◽

pp. 140-149

Author(s):

Madalina Olteanu ◽

Jean-Charles Lamirel

Keyword(s):

The City

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Self-Organizing Maps in Earth Observation Data Cubes Analysis

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_7 ◽

2019 ◽

pp. 70-79 ◽

Cited By ~ 1

Author(s):

Lorena Santos ◽

Karine Reis Ferreira ◽

Michelle Picoli ◽

Gilberto Camara

Keyword(s):

Earth Observation ◽

Observation Data ◽

Self Organizing Maps ◽

Data Cubes ◽

Earth Observation Data ◽

Self Organizing

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Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data VisualizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Self-Organizing Maps with Convolutional Layers

Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps

LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison

Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps

Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis

Variants of Fuzzy Neural Gas

Subspace Quantization on the Grassmannian

Look and Feel What and How Recurrent Self-Organizing Maps Learn

When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns

Self-Organizing Maps in Earth Observation Data Cubes Analysis

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Latest Publications