Behavior of the Concept Lattice Reduction to visualizing data after Using Matrix Decompositions

机译：使用矩阵分解后概念晶格的行为降低到可视化数据

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High complexity of formal concept, analysis algorithms and lattice construction algorithms are main problems today. If we want to compute all concepts from huge incidence matrix, complexity plays a great role. In some cases, we do not need to compute all

机译：正式概念的高复杂性，分析算法和格子建设算法今天是主要问题。如果我们想从巨大的发病矩阵中计算所有概念，复杂性起着很大的作用。在某些情况下，我们不需要计算所有

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来源
《Conference on Innovations in Information Technologies》|2007年||共5页
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Snasel V.; Dahwa Abdulla H.M.; Polovincak M.;
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中图分类 G202-53;
关键词
data visualisation; matrix decomposition; concept lattice reduction; data visualization; incidence matrix; matrix decompositions;

机译：数据可视化;矩阵分解;概念晶格减少;数据可视化;发病矩阵;矩阵分解;

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4. Behavior of the Concept Lattice Reduction to visualizing data after Using Matrix Decompositions [C] . Vaclav Snasel, Hussam M. Dahwa Abdulla, Martin Polovincak Conference on Innovations in Information Technologies . 2007

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Behavior of the Concept Lattice Reduction to visualizing data after Using Matrix Decompositions

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