Abstract
Rough Extended Framework - REF - presents recently devised algorithmic approach to data analysis based upon inspection of the data object relation to predefined number of clusters or thresholds areas. Clusters most often are represented by the cluster center, and the cluster centers are viewed as cluster representitives. In the paper, in the Rough Extended Clustering Framework, the basic RECA (Rough Entropy Clustering Algorithms) construction blocks or components have been introduced and presented on illustrative examples. The introduced RECA components create starting point into data analysis performed on the REF and C-REF framework.
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References
Malyszko, D., Stepaniuk, J.: Granular Multilevel Rough Entropy Thresholding in 2D Domain. In: 16th International Conference Intelligent Information Systems, IIS 2008, Zakopane, Poland, June 16-18, pp. 151–160 (2008)
Malyszko, D., Stepaniuk, J.: Generalized Hypersphere d-Metric in Rough Measures and Image Analysis. Lectures Notes in Computer Science
Małyszko, D., Stepaniuk, J.: Standard and Fuzzy Rough Entropy Clustering Algorithms in Image Segmentation. In: Chan, C.-C., Grzymala-Busse, J.W., Ziarko, W.P. (eds.) RSCTC 2008. LNCS (LNAI), vol. 5306, pp. 409–418. Springer, Heidelberg (2008)
Malyszko, D., Stepaniuk, J.: Adaptive multilevel rough entropy evolutionary thresholding. Information Sciences 180(7), 1138–1158 (2010)
Malyszko, D., Stepaniuk, J.: Adaptive Rough Entropy Clustering Algorithms in Image Segmentation. Fundamenta Informaticae 98(2-3), 199–231 (2010)
Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: ICCV 2001, vol. (2), pp. 416–423. IEEE Computer Society, Los Alamitos (2001)
Pal, S.K., Shankar, B.U., Mitra, P.: Granular computing, rough entropy and object extraction. Pattern Recognition Letters 26(16), 2509–2517 (2005)
Pawlak, Z., Skowron, A.: Rudiments of rough sets. Information Sciences 177(1), 3–27 (2007)
Pedrycz, W., Skowron, A., Kreinovich, V. (eds.): Handbook of Granular Computing. John Wiley & Sons, New York (2008)
Skowron, A., Stepaniuk, J.: Tolerance Approximation Spaces. Fundamenta Informaticae 27(2-3), 245–253 (1996)
Stepaniuk, J.: Rough–Granular Computing in Knowledge Discovery and Data Mining. Springer, Heidelberg (2008)
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Małyszko, D., Stepaniuk, J. (2011). RECA Components in Rough Extended Clustering Framework. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20042-7_7
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DOI: https://doi.org/10.1007/978-3-642-20042-7_7
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