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Note of Clarification on 'Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering', by Murray, Browne, and McNicholas, J. Multivariate Anal. 161 (2017) 141-156., , and . J. Multivar. Anal., (2019)Corrigendum to Ünsupervised learning via mixtures of skewed distributions with hypercube contours" Pattern Recognition Letters. 58(1), 69-76., , , and . Pattern Recognit. Lett., (2015)In the pursuit of sparseness: A new rank-preserving penalty for a finite mixture of factor analyzers., and . Comput. Stat. Data Anal., (2021)Discussion of 'Model-based clustering and classification with non-normal mixture distributions' by Lee and McLachlan., , and . Stat. Methods Appl., 22 (4): 467-472 (2013)Model based clustering of high-dimensional binary data., , and . Comput. Stat. Data Anal., (2015)Mixtures of Hidden Truncation Hyperbolic Factor Analyzers., , and . J. Classif., 37 (2): 366-379 (2020)A Mixture of Coalesced Generalized Hyperbolic Distributions., , , and . J. Classif., 36 (1): 26-57 (2019)Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package., , , , and . J. Stat. Softw., (2021)Subspace clustering for the finite mixture of generalized hyperbolic distributions., and . Adv. Data Anal. Classif., 13 (3): 641-661 (2019)Hidden truncation hyperbolic distributions, finite mixtures thereof, and their application for clustering., , and . J. Multivar. Anal., (2017)