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ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical
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SVD的应用，奇异值超平面正交投影证明
A中每个向量xi在随机阵B上的正交投影之和的最小值-Application of SVD, singular value hyperplane orthogonal projection proves A vector xi for each B in a random array of the orthogonal projection and the minimum
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基于PLS的文本分类技术研究，和潜在语义索引联系密切，研究文本分类中特征抽取的重要参考。-PLS-based text classification technology, and closely linked to latent semantic indexing, feature extraction of text classification an important reference.
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用于数据挖掘方面的。潜在语义索引最初是一种知识的自动提取和表示的方法，近年来广泛地应用到文本检索中-For data mining. Latent Semantic Indexing is a knowledge of the first automatic extraction and representation methods in recent years, widely used in text retrieval
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latent semantic indexing algorithm in netbeans
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In this code latent semantic indexing has perform on document set and convert the value to ascii charcter
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