non-negative matrix

Non-negative matrix factorization ( NMF) has been proposed for multivariate data analysis, with non-negativity constraints.

非负矩阵因子分解（non-negative Matrix Factorization，NMF）是对非负数据处理的一种多元统计分析方法。

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The advantage of the framework structure is its multi-engines. Because of its independent of the engine structure, the system can be flexibly adjusted according to the algorithm. We introduce the framework of the recommendation engine for collaborative filtering algorithm combined with Non-negative matrix factorization.

该框架的优势在于它的多引擎结构，各引擎之间结构独立，可以根据算法灵活调整，本文详细介绍了结合非负矩阵分解的协同过滤推荐算法使用的引擎框架。

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The Latent Semantic Image Retrieval Based on Non-negative Matrix Factorization

基于非负矩阵分解的隐含语义图像检索

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The feasibility to apply the algorithm of non-negative matrix factorization on intrusion detection is demonstrated.

论证了 非 负矩阵分解算法在入侵检测中应用的可行性.

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