Graph-based clustering and data visualization algorithms:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Springer
2013
|
| Schriftenreihe: | SpringerBriefs in computer science
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHM01 FHN01 FKE01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781447151579 9781447151586 |
| DOI: | 10.1007/978-1-4471-5158-6 |
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Datensatz im Suchindex
| _version_ | 1804150446124695552 |
|---|---|
| adam_text | GRAPH-BASED CLUSTERING AND DATA VISUALIZATION ALGORITHMS
/ VATHY-FOGARASSY, AGNES
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
VECTOR QUANTISATION AND TOPOLOGY-BASED GRAPH REPRESENTATION
GRAPH-BASED CLUSTERING ALGORITHMS
GRAPH-BASED VISUALISATION OF HIGH-DIMENSIONAL DATA
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
GRAPH-BASED CLUSTERING AND DATA VISUALIZATION ALGORITHMS
/ VATHY-FOGARASSY, AGNES
: 2013
ABSTRACT / INHALTSTEXT
THIS 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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Vathy-Fogarassy, Ágnes Abonyi, János 1974- |
| author_GND | (DE-588)133119246 |
| author_facet | Vathy-Fogarassy, Ágnes Abonyi, János 1974- |
| author_role | aut aut |
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| dewey-raw | 006.312 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4471-5158-6 |
| format | Electronic eBook |
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| spellingShingle | Vathy-Fogarassy, Ágnes Abonyi, János 1974- Graph-based clustering and data visualization algorithms Custer (DE-588)10320755-7 gnd Visualisierung (DE-588)4188417-6 gnd |
| subject_GND | (DE-588)10320755-7 (DE-588)4188417-6 |
| title | Graph-based clustering and data visualization algorithms |
| title_auth | Graph-based clustering and data visualization algorithms |
| title_exact_search | Graph-based clustering and data visualization algorithms |
| title_full | Graph-based clustering and data visualization algorithms Ágnes Vathy-Fogarassy ; János Abonyi |
| title_fullStr | Graph-based clustering and data visualization algorithms Ágnes Vathy-Fogarassy ; János Abonyi |
| title_full_unstemmed | Graph-based clustering and data visualization algorithms Ágnes Vathy-Fogarassy ; János Abonyi |
| title_short | Graph-based clustering and data visualization algorithms |
| title_sort | graph based clustering and data visualization algorithms |
| topic | Custer (DE-588)10320755-7 gnd Visualisierung (DE-588)4188417-6 gnd |
| topic_facet | Custer Visualisierung |
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