Produkt
KlappentextData clustering is the process of automaticallygrouping data objects into different groups(clusters). The contribution of this book isthreefold: homogeneous clustering of images, pairwiseheterogeneous data co-clustering, and high-orderstar-structured heterogeneous data co-clustering.First, we propose a semantic-based hierarchical imageclustering framework based on multi-user feedback. Bytreating each user as an independent weak classifier,we show thatcombining multi-user feedback is equivalent to thecombinations of weak independent classifiers. Second,we present a novel graph theoretic approach toperform pairwise heterogeneous data co-clustering. Wethen propose Isoperimetric Co-clustering Algorithm, anew method for partitioning the bipartite graph.Lastly, for high-order heterogeneous co-clustering,we propose the Consistent Isoperimetric High-OrderCo-clustering framework to address star-structuredco-clustering problems in which a central data typeis connected to all the other data types. We modelthis kind of data using a k-partite graph andpartition it by considering it as a fusion ofmultiple bipartite graphs.
Details
ISBN/GTIN978-3-639-11658-8
ProduktartBook on Demand
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2009
Erscheinungsdatum27.02.2009
Seiten152 Seiten
SpracheEnglisch
Gewicht219 g
Artikel-Nr.11021172
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