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DIS
2003
Springer

Clustering Orders

11 years 10 months ago
Clustering Orders
We propose a method of using clustering techniques to partition a set of orders. We define the term order as a sequence of objects that are sorted according to some property, such as size, preference, or price. These orders are useful for, say, carrying out a sensory survey. We propose a method called the ko’means method, which is a modified version of a k-means method, adjusted to handle orders. We compared our method with the traditional clustering methods, and analyzed its characteristics. We also applied our method to a questionnaire survey data on people’s preferences in types of sushi (a Japanese food).
Toshihiro Kamishima, Jun Fujiki
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where DIS
Authors Toshihiro Kamishima, Jun Fujiki
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