Clustering Data Without Distance Functions
نویسندگان
چکیده
Data mining is being applied with profit in many applications. Clustering or segmentation of data is an important data mining application. One of the problems with traditional clustering methods is that they require the analyst to define distance functions that are not always available. In this paper, we describe a new method for clustering without distance functions.
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عنوان ژورنال:
- IEEE Data Eng. Bull.
دوره 21 شماره
صفحات -
تاریخ انتشار 1998