Advances in Self-Organizing Maps and Learning Vector Quantization Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014

The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newe...

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Corporate Author: SpringerLink (Online service)
Other Authors: Villmann, Thomas (Editor), Schleif, Frank-Michael (Editor), Kaden, Marika (Editor), Lange, Mandy (Editor)
Format: eBook
Published: Cham Springer International Publishing 2014, 2014
Edition:1st ed. 2014
Series:Advances in Intelligent Systems and Computing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Magnitude Sensitive Self-Organizing Maps.- Bagged Kernel SOM
  • Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method
  • Short review of dimensionality reduction methods based on stochastic neighbour embedding
  • Attention based Classification Learning in GLVQ and Asymmetric Classification Error Assessment.-Visualization and Classification of DNA sequences using Pareto learning Self Organizing Maps based on Frequency and Correlation Coefficient
  • Probabilistic prototype classification using t-norms
  • Rejection Strategies for Learning Vector Quantization – a Comparison of Probabilistic and Deterministic Approaches
  • Comparison of spectrum cluster analysis with PCA and spherical SOM and related issues not amenable to PCA
  • Exploiting the structures of the U-matrix
  • Semantic Labeling of occupancy grid maps
  • Anomaly detection based on confidence intervals using SOM with an application to Health Monitoring
  • RFSOM - Extending Self-Organizing feature Maps with adaptive metrics to combine spatial and textural features for body pose estimation
  • A Simulation Study
  • A Concurrent SOM-based Chan-Vese Model for Image Segmentation
  • Text mining of life-philosophicl insights
  • SOMbrero: an R Package for Numeric and Non-numeric Self-Organizing Maps
  • K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models