R. J. G. B. Campello, P. Kröger, J. Sander, and A. Zimek, Density-based clustering, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, no. 2, p. e1343, 2020.
X. W. Xu, M. Ester, H. P. Kriegel, and J. Sander, A distribution-based clustering algorithm for mining in large spatial databases, in Proc. 14th Int. Conf. Data Engineering, Washington, DC, USA, 1998, pp. 324-331.
H. O. Hartley, R. R. Hocking, The analysis of incomplete data, Biometrics, vol. 27, no. 4, pp. 783-823, 1971.
J. MacQueen, Some methods for classification and analysis of multivariate observations, in Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, Oakland, CA, USA, 1967, pp. 281-297.
A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B (Methodological), vol. 39, no. 1, pp. 1-38, 1977.
E. Acuña and C. Rodriguez, The treatment of missing values and its effect on classifier accuracy, in Classification, Clustering, and Data Mining Applications, D. Banks, F. R. McMorris, P. Arabie, and W. Gaul, eds. Berlin, Germany: Springer, 2004, pp. 639-647.
R. J. Hathaway, J. C. Bezdek, Fuzzy c-means clustering of incomplete data, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 31, no. 5, pp. 735-744, 2001.
M. G. Kendall, Advanced Theory of Statistics Vol.-I. London, UK: Charles Griffin, 1943.
D. T. Lee, C. K. Wong, Worst-case analysis for region and partial region searches in multidimensional binary search trees and balanced quad trees, Acta Informatica, vol. 9, no. 1, pp. 23-29, 1977.
J. L. Bentley, Multidimensional binary search trees used for associative searching, Communications of the ACM, vol. 18, no. 9, pp. 509-517, 1975.
L. J. Gleser, Multivariate statistics: A vector space approach, Journal of the American Statistical Association, vol. 80, no. 392, pp. 1069-1070, 1985.
B. A. Galler, M. J. Fisher, An improved equivalence algorithm, Communications of the ACM, vol. 7, no. 5, pp. 301-303, 1964.
K. Lai, L. F. Bo, X. F. Ren, and D. Fox, A large-scale hierarchical multi-view RGB-D object dataset, in Proc. 2011 IEEE Int. Conf. Robotics and Automation, Shanghai, China, 2011, pp. 1817-1824.
A. Martiniano, R. P. Ferreira, R. J. Sassi, and C. Affonso, Application of a neuro fuzzy network in prediction of absenteeism at work, in Proc. 7th Iberian Conf. Information Systems and Technologies (CISTI 2012), Madrid, Spain, 2012, pp. 1-4.
S. Renjith and C. Anjali, A personalized mobile travel recommender system using hybrid algorithm, in Proc. 2014 1st Int. Conf. Computational Systems and Communications (ICCSC), Trivandrum, India, 2014, pp. 12-17.
R. C. B. Madeo, C. A. M. Lima, and S. M. Peres, Gesture unit segmentation using support vector machines: Segmenting gestures from rest positions, in Proc. 28th Annu. ACM Symp. Applied Computing, New York, NY, USA, 2013, pp. 46-52.
A. Jacobson, D. Panozzo, C. Schüller, O. Diamanti, Q. N. Zhou, S. Koch, J. Dumas, A. Vaxman, N. Pietroni, S. Brugger, et al., libigl: A simple C++ geometry processing library, http://libigl.github.io/libigl/, 2018.
Y. Sasaki, The truth of the F-measure, Teach Tutor Mater, vol. 1, no. 5, pp. 1-5, 2007.