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Advances in Self-Organizing Maps

Overview of attention for book
Cover of 'Advances in Self-Organizing Maps'

Table of Contents

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    Book Overview
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    Chapter 1 Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated
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    Chapter 2 Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
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    Chapter 3 Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach
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    Chapter 4 Time Series Clustering for Anomaly Detection Using Competitive Neural Networks
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    Chapter 5 Fault Prediction in Aircraft Engines Using Self-Organizing Maps
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    Chapter 6 Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ
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    Chapter 7 Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning
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    Chapter 8 Gamma SOM for Temporal Sequence Processing
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    Chapter 9 Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means
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    Chapter 10 Clustering with Swarm Algorithms Compared to Emergent SOM
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    Chapter 11 Cartograms, Self-Organizing Maps, and Magnification Control
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    Chapter 12 Concept Mining with Self-Organizing Maps for the Semantic Web
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    Chapter 13 Advances in Self-Organizing Maps
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    Chapter 14 Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map
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    Chapter 15 Bag-of-Features Codebook Generation by Self-Organisation
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    Chapter 16 On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study
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    Chapter 17 Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
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    Chapter 18 Career-Path Analysis Using Optimal Matching and Self-Organizing Maps
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    Chapter 19 Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors
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    Chapter 20 Representing Semantic Graphs in a Self-Organizing Map
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    Chapter 21 Analytic Comparison of Self-Organising Maps
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    Chapter 22 Modeling the Bilingual Lexicon of an Individual Subject
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    Chapter 23 Self-Organizing Maps with Non-cooperative Strategies (SOM-NC)
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    Chapter 24 Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map
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    Chapter 25 Line Image Classification by NG×SOM: Application to Handwritten Character Recognition
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    Chapter 26 Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties
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    Chapter 27 Visualization by Linear Projections as Information Retrieval
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    Chapter 28 Analyzing Domestic Violence with Topographic Maps: A Comparative Study
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    Chapter 29 On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps
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    Chapter 30 Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map
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    Chapter 31 Hierarchical PCA Using Tree-SOM for the Identification of Bacteria
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    Chapter 32 Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood
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    Chapter 33 Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database
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    Chapter 34 Towards Semi-supervised Manifold Learning: UKR with Structural Hints
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    Chapter 35 Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis
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    Chapter 36 Top-Down Control of Learning in Biological Self-Organizing Maps
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    Chapter 37 Functional Principal Component Learning Using Oja’s Method and Sobolev Norms
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    Chapter 38 A Computational Framework for Nonlinear Dimensionality Reduction and Clustering
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    Chapter 39 The Exploration Machine – A Novel Method for Data Visualization
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    Chapter 40 Generalized Self-Organizing Mixture Autoregressive Model
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    Chapter 41 An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra
Overall attention for this book and its chapters
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Mentioned by

patent
1 patent

Citations

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34 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Advances in Self-Organizing Maps
Published by
ADS, June 2009
DOI 10.1007/978-3-642-02397-2
ISBNs
978-3-64-202396-5, 978-3-64-202397-2
Editors

Príncipe, José C., Miikkulainen, Risto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2012.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from ADS
#9,313
of 37,451 outputs
Outputs of similar age
#38,617
of 114,571 outputs
Outputs of similar age from ADS
#103
of 328 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 328 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.