کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1145137 | 957452 | 2008 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new dissimilarity measure in time-dependent experiments
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
آمار و احتمال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A new dissimilarity measure in time-dependent experiments A new dissimilarity measure in time-dependent experiments](/preview/png/1145137.png)
چکیده انگلیسی
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, Îti. We show that this measure has larger asymptotic discriminating power than the Euclidean distance, and it also gives a good small sample performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Korean Statistical Society - Volume 37, Issue 2, June 2008, Pages 145-153
Journal: Journal of the Korean Statistical Society - Volume 37, Issue 2, June 2008, Pages 145-153
نویسندگان
Jongwoo Song,