Publisher
Springer Berlin Heidelberg
Reference15 articles.
1. Aidos, H., Duin, R., Fred, A.: The area under the ROC curve as a criterion for clustering evaluation. In: Proc. of the 2nd Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2013), Barcelona, pp. 276–280 (2013)
2. Aidos, H., Fred, A.: Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering. Pattern Recognition 45(9), 3061–3071 (2012)
3. Ayad, H.G., Kamel, M.S.: Cumulative voting consensus method for partitions with variable number of clusters. IEEE Trans. Pattern Anal. Mach. Intell. 30(1), 160–173 (2008)
4. Lecture Notes in Artificial Intelligence;E. Dimitriadou,2002
5. Fern, X.Z., Brodley, C.E.: Solving cluster ensemble problems by bipartite graph partitioning. In: Machine Learning - Proc. of the 21st Int. Conf. (ICML 2004), Banff, Alberta, Canada (2004)