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. 2014 Dec 4;8:138. doi: 10.3389/fnana.2014.00138

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Copyright © 2014 Polavaram, Gillette, Parekh and Ascoli.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Unsupervised cluster analysis of dendritic morphology. (A) Maximization of BIC reveals marginal performance of spherical clustering with equal (EII) or unequal size (VII) alike relative to the models allowing ellipsoidal clusters. Among those, those accounting for unequal orientation (EEV, VEV, and VVV) performed better, especially with unequal size (VEV and VVV). The highest BIC value was attained at 6 clusters with varying size, shapes and orientation (VVV). (B) Scatter plot of color-coded cluster assignments (a through f) projected on the first two principal components. The ovals represent best fitting cluster parameters. (C) Cluster ranking by Z score distance from the origin of coordinates. (D) Pairwise inter-cluster distances normalized by the corresponding scatters. Farthest distances are in green and nearest are in red.