奇异值分解SVD--几个实例
摘要：
SVD is extraordinarily useful and has many applications such as data analysis, signal processing, pattern recognition, image compression, weather prediction, and Latent Semantic Analysis or LSA (also referred to as Latent Semantic Indexing or LSI).1，Data compressionSingular value decompositions can 阅读全文
posted @ 2013-04-25 20:00 liangzh123 阅读(1322) 评论(0) 推荐(0)
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