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This paper presents a kernel-based fuzzy c-means algorithm with partition index maximization, called KPIM algorithm. The proposed KPIM algorithm is more robust than the partition index maximization algorithm proposed by Özdemir and Akarum. Experiments show that the advantage of KPIM are robust properties: (1) robust to fuzziness parameter m, (2) robust to outlier, (3) robust to image artifacts; and...
The routine Cyclic Association Rules and its upgrading alternatives were found with some problems as these:Some disadvantage of technique that compartmentalize a cycle into several time segments; The basic arithmetic use Apriori Arithmetic ,Their disadvantage are huge the candidate items and low-level efficiency. In regard to these problems, a new Cyclic Association Rules method was discussed. The...
This paper mainly addresses the issue of determining the number of clusters. Over a data set, a minimum spanning tree is constructed, and then m-ary tree is employed to search clusters on the minimum spanning tree. The number of large and well separate m-ary tree is the number of clusters. Numerical experiments show that the performance of the proposed method is promising.
Enterprise Resource Based View (RBV) provides theoretical basis for research of sustainable competitive advantage of IT resources. This paper analyzed the relationship between IT resources and sustained competitive advantage of enterprises, and the choices of IT resources clustering index. IT resources fuzzy clustering model has been constructed. The Fuzzy C-Mean Clustering (FCM) algorithm based on...
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