| 000 | 02778nam a22005057a 4500 | ||
|---|---|---|---|
| 001 | sulb-eb0021665 | ||
| 003 | BD-SySUS | ||
| 005 | 20160413122154.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 130525s2013 xxk| s |||| 0|eng d | ||
| 020 |
_a9781447151586 _9978-1-4471-5158-6 |
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| 024 | 7 |
_a10.1007/978-1-4471-5158-6 _2doi |
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| 050 | 4 | _aQA76.9.D343 | |
| 072 | 7 |
_aUNF _2bicssc |
|
| 072 | 7 |
_aUYQE _2bicssc |
|
| 072 | 7 |
_aCOM021030 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.312 _223 |
| 100 | 1 |
_aVathy-Fogarassy, Ágnes. _eauthor. |
|
| 245 | 1 | 0 |
_aGraph-Based Clustering and Data Visualization Algorithms _h[electronic resource] / _cby Ágnes Vathy-Fogarassy, János Abonyi. |
| 264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2013. |
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| 300 |
_aXIII, 110 p. 62 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
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| 505 | 0 | _aVector Quantisation and Topology-Based Graph Representation -- Graph-Based Clustering Algorithms -- Graph-Based Visualisation of High-Dimensional Data. | |
| 520 | _aThis work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges characterize relations and weights represent similarities or distances) provides a compact representation of the entire complex data set. This text describes clustering and visualization methods that are able to utilize information hidden in these graphs, based on the synergistic combination of clustering, graph-theory, neural networks, data visualization, dimensionality reduction, fuzzy methods, and topology learning. The work contains numerous examples to aid in the understanding and implementation of the proposed algorithms, supported by a MATLAB toolbox available at an associated website. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aMathematics. | |
| 650 | 0 | _aVisualization. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aVisualization. |
| 700 | 1 |
_aAbonyi, János. _eauthor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9781447151579 |
| 830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4471-5158-6 |
| 912 | _aZDB-2-SCS | ||
| 942 |
_2Dewey Decimal Classification _ceBooks |
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| 999 |
_c43757 _d43757 |
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