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Clustering hierarch...
Clustering hierarchical data using self-organizing map : A graph-theoretical approach
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- Argyrou, Argyris (författare)
- Hanken School of Economics, Helsinki, Finland
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(creator_code:org_t)
- Berlin, Heidelberg : Springer, 2009
- 2009
- Engelska.
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Berlin, Heidelberg : Springer. - 3642023967 - 9783642023965 ; , s. 19-27
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The application of Self-Organizing Map (SOM) to hierarchical data remains an open issue, because such data lack inherent quantitative information. Past studies have suggested binary encoding and Generalizing SOM as techniques that transform hierarchical data into numerical attributes. Based on graph theory, this paper puts forward a novel approach that processes hierarchical data into a numerical representation for SOM-based clustering. The paper validates the proposed graph-theoretical approach via complexity theory and experiments on real-life data. The results suggest that the graph-theoretical approach has lower algorithmic complexity than Generalizing SOM, and can yield SOM having significantly higher cluster validity than binary encoding does. Thus, the graph-theoretical approach can form a data-preprocessing step that extends SOM to the domain of hierarchical data.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Företagsekonomi (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Business Administration (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- Clustering
- Graph theory
- Hierarchical data
- SOM
- Algorithmic complexity
- Binary encodings
- Cluster validity
- Complexity theory
- Graph theoretical approach
- Numerical attributes
- Numerical representation
- Pre-processing step
- Quantitative information
- Real life data
- Selforganizing map
- Computational complexity
- Conformal mapping
- Electric converters
- Encoding (symbols)
- Parallel processing systems
- Self organizing maps
- Strength of materials
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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