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development, verification, and validation of microstructure-sensitive process models for nearalpha titanium alloys. Integr Mater Manuf Innov 5(14), 259 (2016). https://doi.org/10.1186/
s40192-016-0056-1
61. A.P. Woodfield, M.D. Gorman, R.R. Corderman, J.A. Sutliff, B. Yamrom, Effect of Microstructure on Dwell Fatigue Behavior of Ti-6242, in Titanium ’95: Science and Technology,
(Birmingham, 1996)
62. A.L. Pilchak, A. Huston, W.J. Porter, D.J. Buchanan, R. John, Growth of small and long fatigue
cracks in Ti-6Al-4V subjected to cyclic and dwell fatigue, in Proceedings of the 13th World
Conference on Titanium, Warrendale, 2016.
63. A.L. Pilchak, A simple model to account for the rolw of microtexture on fatigue and dwell
fatigue lifetimes of titanium alloys. Scr. Mater. 74, 68–71 (2014). https://doi.org/10.1016/
j.scriptamat.2013.10.024
64. A.K. Jain, M.N. Murty, P.J. Flynn, Data clustering: A review. ACM Comput. Surv. 31(3), 265–
323 (1999). https://doi.org/10.1145/331499.331504
65. L. Kaufman, P.J. Rousseeuw, Clustering by means of medoids, in Proceedings of Statistical
Data Analysis Based on the L1 Norm, Neuchatel, 1987
66. A.K. Jain, Data clustering: 50 years beyond K-means. Pattern Recogn. Lett. 31(8), 651–666
(2010). https://doi.org/10.1016/j.patrec.2009.09.011
67. P.J. Rousseeuw, Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987). https://doi.org/10.1016/0377-0427(87)901257
68. A.L. Pilchak, A.R. Shiveley, J.S. Tiley, D.L. Ballard, AnyStitch: A tool for combining electron
backscatter diffraction data sets. J. Microsc. 244(1), 38–44 (2011). https://doi.org/10.1111/
j.1365-2818.2011.03496.x