A Novel Metric Embedding Optimal Normalization Mechanism for Clustering of Series Data

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Clustering is indispensable to obtain a general view of series data from a number of data such as gene expression profiles. We propose a novel metric for clustering. The proposed metric automatically normalizes data to minimize a logarithmic scale distance between the data series.
（社）電子情報通信学会の論文
2008-09-01

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A Novel Metric Embedding Optimal Normalization Mechanism for Clustering of Series Data

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