2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM) /

The conference is mainly focused on to the theoretical and methodological aspects of Self Organizing Maps and Learning Vector Quantization More generally, we expect contributions in Data analysis and data visualization, temporal and incremental data mining, various mathematical approaches including...

Ausführliche Beschreibung

Gespeichert in:
Weitere Titel:
2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization
Körperschaft:
Institute of Electrical and Electronics Engineers
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Piscataway, New Jersey : IEEE, 2017.
Zusammenfassung:
The conference is mainly focused on to the theoretical and methodological aspects of Self Organizing Maps and Learning Vector Quantization More generally, we expect contributions in Data analysis and data visualization, temporal and incremental data mining, various mathematical approaches including information theory and mathematical statistics, software and hardware implementations, architectural solutions including hierarchical and growing networks, ensemble models and special metrics, neuro cognitive studies that compare modeling and empirical results at different levels, models, experimental investigations and applications of autonomous mental development.
Umfang:
1 online resource : illustrations
ISBN:
1-5090-6638-1
Schlagworte:
Information visualization > Congresses.
Self-organizing maps > Congresses.
Bezugswerke:
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