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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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33%; open Rodrigues, E, Sousa-Rodrigues, D, Teixeira de Sampayo, M, Gaspar, AR, Gomes, A and Henggeler Antunes, C (2017) Find in CUMINCAD Clustering of architectural floor plans: A comparison of shape representations , Automation in Construction, 80, pp. 48-65
33%; open Rodrigues, Eugénio, David Sousa-Rodrigues, Mafalda Teixeira de Sampayo, Adélio Rodrigues Gaspar, Álvaro Gomes, and Carlos Henggeler Antunes. (2017) Find in CUMINCAD Clustering of Architectural Floor Plans: A Comparison of Shape Representations , Automation in Construction 80: 48-65. doi: https://doi.org/10.1016/j. autcon.2017.03.017
33%; open Satu Elisa Schaeffer (2007) Find in CUMINCAD Graph Clustering , Computer Science Review 1 (1): 27–64
33%; open Sharma, Narendra, Bajpai, Aman and Litoriya, Ratnesh (2012) Find in CUMINCAD Comparison the various clustering algorithms of weka tools , International Journal of Emerging Technology and Advanced Engineering, 2, pp. 73-80
33%; open Sinaga, K. P., & Yang, M.-S. (2020) Find in CUMINCAD Unsupervised K-means Clustering Algorithm , IEEE Access, 8, 8716-8727, doi: 1.119/ACCESS.22.2988796.
33%; open Sinaga, K. P., & Yang, M.-S. (2020) Find in CUMINCAD Unsupervised K-means Clustering Algorithm , IEEE Access, 8, 8716-8727. Available at: https://doi.org/1.119/access.22.2988796
33%; open Sprenger, T.C., Brunella, R. and Gross, M.H. (2000) Find in CUMINCAD H-blob: A hierarchical visual clustering method using implicit surfaces , Proceedings of IEEE Conference on Visualization, pages 61ń68, Salt Lake City, USA, 2000. IEEE Press.
33%; open Steinbach, M., Ertöz, L. and Kumar, V. (2004) Find in CUMINCAD The Challenges of Clustering High Dimensional Data , Wille, L.T. (eds), New Directions in Statistical Physics, Springer, Berlin, pp. 273-309
33%; open Steinbach, M., Karypis, G., Kumar. V. (2000) Find in CUMINCAD A comparison of document clustering techniques , KDD workshop on text mining, 400(1)
33%; open Stepp, R.E. and Michalski, R.S. (1986) Find in CUMINCAD Conceptual Clustering of Structured Objects: A Goal-Oriented Approach , Artificial Intelligence, 28, 43-69
33%; open Subakti, A., Murfi, H., & Hariadi, N. (2022) Find in CUMINCAD The performance of bert as data representation of text clustering , Journal of Big Data, 9(1). https://doi.org/10.1186/s40537-022-00564-9
33%; open UJJWAL MAULIK, SANGHAMITRA BANDYOPADHYAY (1999) Find in CUMINCAD Genetic algorithm-based clustering technique Department of Computer Science , Government Engineering College, Kalyani, Nadia, India
33%; open Ultsch A, Moerchen F (2015) Find in CUMINCAD ESOM-Maps: tools for clustering, visualization, and classification with Emergent SOM , Marburg, Germany
33%; open Ultsch, A and Moerchen, F (2005) Find in CUMINCAD ESOM-Maps: tools for clustering, visualization, and classification with Emergent SOM , Dept. of Mathematics and Computer Science, University of Marburg, Marburg, Germany
33%; open Ultsch, A and Moerchen, F (2005) Find in CUMINCAD ESOM-Maps: tools for clustering, visualization, and classification with Emergent SOM , Dept. of Mathematics and Computer Science, University of Marburg, pp. 1-7
33%; open Velmurugan, T., and T. Santhanam. (2010) Find in CUMINCAD Computational complexity between K-means and K-medoids clustering algorithms for normal and uniform distributions of data points , Journal of Computer Science 6(3): 363
33%; open Von Luxburg U. (2007) Find in CUMINCAD A tutorial on spectral clustering , Stat Comput; 17: 395–416
33%; open von Luxburg, U (2007) Find in CUMINCAD A Tutorial on Spectral Clustering , Statistics and Computing, 17(4), pp. 395-416
33%; open Wagstaff, K, Cardie, C, Rogers, S and Schroedl, S (2001) Find in CUMINCAD Constrained K-means Clustering with Background Knowledge. , SIAM
33%; open Wagstaff, K (2000) Find in CUMINCAD Clustering with Instance-Level Constraints , Proceedings of the Seventeenth International Conference on Machine Learning, 1, pp. 1103-1110

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