New methods for the initialisation of clusters

نویسندگان

  • Mohd Belal Al-Daoud
  • Stuart A. Roberts
چکیده

One of the most widely used clustering techniques is the kmeans algorithm. Solutions obtained from this technique are dependent on the initialisation of cluster centres. In this article, two initialisation methods are developed. These methods are particularly suited to problems involving very large data sets. The methods have been applied to di erent data sets and good results are obtained.

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عنوان ژورنال:
  • Pattern Recognition Letters

دوره 17  شماره 

صفحات  -

تاریخ انتشار 1996