| 摘要 |
<p>A decision tree clustering procedure is provided which emlpoys a unified approach to extracting both the decision tree and (preferably fuzzy) clusters. The decision tree is built by subsequent clustering of single dimensions or features, and the choice of the winning sepration is based on cluster validity. In one embodimentm the clustering employs a fuzzy c-means (FCM) model and the partition coefficient (PC) to determine the selected separations.</p> |
