Spell Sequences, State Proximities, and Distance Metrics
Spell Sequences, State Proximities, and Distance Metrics
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DOI：
10.1177/0049124114540707
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发表时间：
2015-02-01
影响因子：
6.3
通讯作者：
Studer, Matthias
中科院分区：
文献类型：
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作者：
Elzinga, Cees H.;Studer, Matthias
由于最优匹配(OM)距离对状态顺序的差异不是很敏感，我们引入了一种基于子序列的距离度量，它可以适应于子序列长度、子序列持续时间和状态的软匹配。使用STUDER开发的模拟技术，我们调查了该度量的几个变体对状态的顺序、时间和持续时间的变化的敏感性。结果表明，该度量的行为符合预期。此外，我们使用来自瑞士家庭小组的家庭形成数据来比较新指标的几个变种和OM。新的指标已经在免费提供的Traminer-Package中实现。
Because optimal matching (OM) distance is not very sensitive to differences in the order of states, we introduce a subsequence-based distance measure that can be adapted to subsequence length, to subsequence duration, and to soft-matching of states. Using a simulation technique developed by Studer, we investigate the sensitivity, relative to OM, of several variants of this metric to variations in order, timing, and duration of states. The results show that the behavior of the metric is as intended. Furthermore, we use family formation data from the Swiss Household Panel to compare a few variants of the new metric to OM. The new metrics have been implemented in the freely available TraMineR-package.