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 New Research Directions and Some Results A Graph Theoretic Approach to Heterogeneous Data Clustering.
Наименование:

New Research Directions and Some Results A Graph Theoretic Approach to Heterogeneous Data Clustering.

автор Manjeet R. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 152        мягкая обложка       
Аннотация:First, we propose a semantic-based hierarchical image clustering framework based on multi-user feedback. Data clustering is the process of automatically grouping data objects into different groups (clusters). Lastly, for high-order heterogeneous co-clustering, we propose the Consistent Isoperimetric High-Order Co-clustering framework to address star-structured co-clustering problems in which a central data type is connected to all the other data types. We then propose Isoperimetric Co-clustering Algorithm, a new method for partitioning the bipartite graph. The contribution of this book is threefold: homogeneous clustering of images, pairwise heterogeneous data co-clustering, and high-order star-structured heterogeneous data co-clustering. By treating each user as an independent weak classifier, we show that combining multi-user feedback is equivalent to the combinations of weak independent classifiers. We model this kind of data using a k-partite graph and partition it by considering it as a fusion of multiple bipartite graphs. Second, we present a novel graph theoretic approach to perform pairwise heterogeneous data co-clustering.
Автор: Manjeet R.
Издательство: Книга по Требованию
Год:2009
Цена:
2415 руб
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Поиск: New Research Directions and Some Results A Graph Theoretic Approach to Heterogeneous Data Clustering.
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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