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Editorial: Journal of Classification Vol. 38-3

Editorial: Journal of Classification Vol. 38-3 Journal of Classification (2021) 38:423–424 https://doi.org/10.1007/s00357-021-09404-6 Editorial: Journal of Classification Vol. 38-3 Paul D. McNicholas Accepted: 10 November 2021 © The Author(s) under exclusive licence to The Classification Society 2021 In the first of the ten articles herein, Chen, Sun, Euan and Ombao introduce two algorithms for clustering data on brain activity; specifically, electroencephalograms. The second article, by Michis, develops a wavelet multidimensional scaling approach and applies it to data on economic sentiment. In the third paper, Ballante, Galvani, Uberti and Figini introduce polarized classification trees and carry out a simulation study to compare their method to established approaches. The fourth paper, by Kohn ¨ and Chiu, lays out the completeness conditions of unstructured Q-matrices for the DINA model. In the fifth paper, de Raadt, Warrens, Bosker and Kiers compare reliability coefficients — including kappa coefficients and correlation coefficients — for ordinal rating scales. In the sixth paper of this issue, Ke and Chang propose a subject selection method for non-parametric model-based classifiers. In the seventh paper, Tomarchio, McNicholas and Punzo extend cluster-weighted models (CWMs; Gershenfeld, 1997) to the matrix variate case. The next article, by Lu, Li and Love, considers the parsimonious Gaussian mixture model family (McNicholas & http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Classification Springer Journals

Editorial: Journal of Classification Vol. 38-3

McNicholas, Paul D.
Journal of Classification , Volume 38 (3) – Oct 1, 2021
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References (2)

Publisher
Springer Journals
Copyright
Copyright © The Author(s) under exclusive licence to The Classification Society 2021
ISSN
0176-4268
eISSN
1432-1343
DOI
10.1007/s00357-021-09404-6
Publisher site
See Article on Publisher Site

Abstract

Journal of Classification (2021) 38:423–424 https://doi.org/10.1007/s00357-021-09404-6 Editorial: Journal of Classification Vol. 38-3 Paul D. McNicholas Accepted: 10 November 2021 © The Author(s) under exclusive licence to The Classification Society 2021 In the first of the ten articles herein, Chen, Sun, Euan and Ombao introduce two algorithms for clustering data on brain activity; specifically, electroencephalograms. The second article, by Michis, develops a wavelet multidimensional scaling approach and applies it to data on economic sentiment. In the third paper, Ballante, Galvani, Uberti and Figini introduce polarized classification trees and carry out a simulation study to compare their method to established approaches. The fourth paper, by Kohn ¨ and Chiu, lays out the completeness conditions of unstructured Q-matrices for the DINA model. In the fifth paper, de Raadt, Warrens, Bosker and Kiers compare reliability coefficients — including kappa coefficients and correlation coefficients — for ordinal rating scales. In the sixth paper of this issue, Ke and Chang propose a subject selection method for non-parametric model-based classifiers. In the seventh paper, Tomarchio, McNicholas and Punzo extend cluster-weighted models (CWMs; Gershenfeld, 1997) to the matrix variate case. The next article, by Lu, Li and Love, considers the parsimonious Gaussian mixture model family (McNicholas &

Journal

Journal of Classification – Springer Journals

Published: Oct 1, 2021

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