Advances in Self-Organizing Maps : 7th International Workshop, WSOM 2009, St. Augustine, Florida, June 8-10, 2009. Proceedings / edited by J.C. Principe, Risto Miikkulainen.

Format:

Book

Contributor:

Príncipe, J. C. (José C.), editor.

Miikkulainen, Risto, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 5629.

Theoretical Computer Science and General Issues ; 5629

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Software engineering.

Algorithms.

Computer simulation.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Software Engineering/Programming and Operating Systems.

Software Engineering.

Algorithm Analysis and Problem Complexity.

Simulation and Modeling.

Local Subjects:

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Software Engineering/Programming and Operating Systems.

Software Engineering.

Algorithm Analysis and Problem Complexity.

Simulation and Modeling.

Physical Description:

1 online resource (X, 374 pages).

Edition:

First edition 2009.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009. The 41 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers deal with topics in the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and theoretical computer science.

Contents:

Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated

Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas

Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach

Time Series Clustering for Anomaly Detection Using Competitive Neural Networks

Fault Prediction in Aircraft Engines Using Self-Organizing Maps

Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ

Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning

Gamma SOM for Temporal Sequence Processing

Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means

Clustering with Swarm Algorithms Compared to Emergent SOM

Cartograms, Self-Organizing Maps, and Magnification Control

Concept Mining with Self-Organizing Maps for the Semantic Web

ViSOM for Dimensionality Reduction in Face Recognition

Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map

Bag-of-Features Codebook Generation by Self-Organisation

On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study

Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas

Career-Path Analysis Using Optimal Matching and Self-Organizing Maps

Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors

Representing Semantic Graphs in a Self-Organizing Map

Analytic Comparison of Self-Organising Maps

Modeling the Bilingual Lexicon of an Individual Subject

Self-Organizing Maps with Non-cooperative Strategies (SOM-NC)

Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map

Line Image Classification by NG×SOM: Application to Handwritten Character Recognition

Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties

Visualization by Linear Projections as Information Retrieval

Analyzing Domestic Violence with Topographic Maps: A Comparative Study

On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps

Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map

Hierarchical PCA Using Tree-SOM for the Identification of Bacteria

Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database

Towards Semi-supervised Manifold Learning: UKR with Structural Hints

Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis

Top-Down Control of Learning in Biological Self-Organizing Maps

Functional Principal Component Learning Using Oja's Method and Sobolev Norms

A Computational Framework for Nonlinear Dimensionality Reduction and Clustering

The Exploration Machine - A Novel Method for Data Visualization

Generalized Self-Organizing Mixture Autoregressive Model

An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra.

Other Format:

Printed edition:

ISBN:

978-3-642-02397-2

9783642023972

Access Restriction:

Restricted for use by site license.