Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 송종우 | - |
dc.date.accessioned | 2016-08-28T12:08:59Z | - |
dc.date.available | 2016-08-28T12:08:59Z | - |
dc.date.issued | 2008 | - |
dc.identifier.issn | 1226-3192 | - |
dc.identifier.other | OAK-4910 | - |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/220023 | - |
dc.description.abstract | Most distance measures used in unsupervised learning methods including the Euclidean distance and correlation-based distances disregard the time order of observations. In this paper, we consider a new dissimilarity measure that incorporates the time order of observations for time-dependent experiments. It measures the distance between a linear combination of two consecutive observations. To consider the length of time interval between observations, we use the same measure with the weight of time length, Δ ti. We show that this measure has larger asymptotic discriminating power than the Euclidean distance, and it also gives a good small sample performance. © 2008 The Korean Statistical Society. | - |
dc.language | English | - |
dc.title | A new dissimilarity measure in time-dependent experiments | - |
dc.type | Article | - |
dc.relation.issue | 2 | - |
dc.relation.volume | 37 | - |
dc.relation.index | SCIE | - |
dc.relation.index | SCOPUS | - |
dc.relation.index | KCI | - |
dc.relation.startpage | 145 | - |
dc.relation.lastpage | 153 | - |
dc.relation.journaltitle | Journal of the Korean Statistical Society | - |
dc.identifier.doi | 10.1016/j.jkss.2007.10.006 | - |
dc.identifier.wosid | WOS:000257200000007 | - |
dc.identifier.scopusid | 2-s2.0-43049151501 | - |
dc.author.google | Song J. | - |
dc.contributor.scopusid | 송종우(24172121500) | - |
dc.date.modifydate | 20170301081004 | - |