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Advances in Self-Organizing Maps and Learning Vector Quantization

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Cover of 'Advances in Self-Organizing Maps and Learning Vector Quantization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need?
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    Chapter 2 Dynamic Formation of Self-Organizing Maps
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    Chapter 3 MS-SOM: Magnitude Sensitive Self-Organizing Maps
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    Chapter 4 Bagged Kernel SOM
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    Chapter 5 Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method
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    Chapter 6 Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding
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    Chapter 7 Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment
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    Chapter 8 Visualization and Classification of DNA Sequences Using Pareto Learning Self Organizing Maps Based on Frequency and Correlation Coefficient
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    Chapter 9 Probabilistic Prototype Classification Using t-norms
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    Chapter 10 Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches
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    Chapter 11 Prototype-Based Classifiers and Their Application in the Life Sciences
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    Chapter 12 Generative versus Discriminative Prototype Based Classification
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    Chapter 13 Some Room for GLVQ: Semantic Labeling of Occupancy Grid Maps
  15. Altmetric Badge
    Chapter 14 Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring
  16. Altmetric Badge
    Chapter 15 RFSOM – Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation
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    Chapter 16 Beyond Standard Metrics – On the Selection and Combination of Distance Metrics for an Improved Classification of Hyperspectral Data
  18. Altmetric Badge
    Chapter 17 The Sky Is Not the Limit
  19. Altmetric Badge
    Chapter 18 Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study
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    Chapter 19 A Concurrent SOM-Based Chan-Vese Model for Image Segmentation
  21. Altmetric Badge
    Chapter 20 Five-Dimensional Sentiment Analysis of Corpora, Documents and Words
  22. Altmetric Badge
    Chapter 21 SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps
  23. Altmetric Badge
    Chapter 22 K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models
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    Chapter 23 Comparison of Spectrum Cluster Analysis with PCA and Spherical SOM and Related Issues Not Amenable to PCA
  25. Altmetric Badge
    Chapter 24 Exploiting the Structures of the U-Matrix
  26. Altmetric Badge
    Chapter 25 Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization
  27. Altmetric Badge
    Chapter 26 Composition of Learning Patterns Using Spherical Self-Organizing Maps in Image Analysis with Subspace Classifier
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    Chapter 27 Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem
  29. Altmetric Badge
    Chapter 28 A Survey of SOM-Based Active Contour Models for Image Segmentation
  30. Altmetric Badge
    Chapter 29 Advances in Self-Organizing Maps and Learning Vector Quantization
Attention for Chapter 14: Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring
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Chapter title
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring
Chapter number 14
Book title
Advances in Self-Organizing Maps and Learning Vector Quantization
Published in
arXiv, January 2014
DOI 10.1007/978-3-319-07695-9_14
Book ISBNs
978-3-31-907694-2, 978-3-31-907695-9
Authors

Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jerome Lacaille

Editors

Thomas Villmann, Frank-Michael Schleif, Marika Kaden, Mandy Lange

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Researcher 3 18%
Other 2 12%
Student > Master 2 12%
Student > Bachelor 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 5 29%
Mathematics 3 18%
Engineering 3 18%
Physics and Astronomy 2 12%
Economics, Econometrics and Finance 1 6%
Other 0 0%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 August 2015.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from arXiv
#670,830
of 937,566 outputs
Outputs of similar age
#265,063
of 305,514 outputs
Outputs of similar age from arXiv
#5,322
of 9,918 outputs
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So far Altmetric has tracked 937,566 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9,918 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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