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关注:1
2013-05-23 12:21
求翻译:针对金融时间序列, 本文提出一种基于极值点的聚类方法, Without inputting the number of clusters or their size, this method is able to cluster complex systems efficiently by merging components of the closest proximity into the same cluster【12】, 它强调每条曲线的形状、变化趋势对于股票聚类这个目的重要性。把两个股票之间对应里极值点的距离作为相似度量, 运用聚类分析把具有类似变化趋势的时间序列聚为一类, 将具有相异变化趋势的时间序列聚为不同的类,最后对是什么意思?![]() ![]() 针对金融时间序列, 本文提出一种基于极值点的聚类方法, Without inputting the number of clusters or their size, this method is able to cluster complex systems efficiently by merging components of the closest proximity into the same cluster【12】, 它强调每条曲线的形状、变化趋势对于股票聚类这个目的重要性。把两个股票之间对应里极值点的距离作为相似度量, 运用聚类分析把具有类似变化趋势的时间序列聚为一类, 将具有相异变化趋势的时间序列聚为不同的类,最后对
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2013-05-23 12:21:38
For financial time series, this paper proposes a clustering method based on the extreme point without inputting the number of clusters or their size, this method is able to the cluster complex systems efficiently by Show details for breach breach components of the closest proximity into the same clu
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2013-05-23 12:23:18
For financial time series, this article is based on a point of Without inputting methods in the classes, the number of clusters or their size, this method is able to efficiently cluster complex systems by merging the closest proximity of components into the same cluster [ 12] and it stresses that ea
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2013-05-23 12:24:58
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2013-05-23 12:26:38
For financial time series, the paper presents a clustering method based on extreme points, Without inputting the number of clusters or their size, this method is able to cluster complex systems efficiently by merging components of the closest proximity Into the same cluster "12", which emphasizes th
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2013-05-23 12:28:18
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