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Principal Component Analysis (PCA) for Clustering Gene Expression Data

Principal Component Analysis (PCA) for Clustering Gene Expression Data. K. Y. Yeung and W. L. Ruzzo. Organization. Association of PCA and this paper Approach of this paper Data sets Clustering algorithms and similarity metrics Results and discussion. The Functions of PCA?.

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Principal Component Analysis (PCA) for Clustering Gene Expression Data