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Editorial: Journal of Classification Vol. 36-3

Editorial: Journal of Classification Vol. 36-3 Journal of Classification (2019) 36:393–396 https://doi.org/10.1007/s00357-019-09356-y Douglas L. Steinley Published online: 3 D ecem ber 2019 The Classification Society 2019 The third and final issue for 2019 has fourteen articles that span a wide range of topics. The first article, by Douglas Steinley and Michael Brusco adapts a clustering approach for detecting multidimensionality in the context of item response models. Specifically, the authors adapted the approaches in Steinley (2003, 2006) to use the number of locally optimal solutions to indicate the quality of fit; succinctly, a greater presence of locally optimal solutions indicates a worse fitting solution. In the second paper, the quartet of authors Tao Li, Yi Zhang, Dingding Wang, and Jian Xu introduce a consensus clustering method that extends the standard consensus clustering approach of obtaining one consensus clustering to multiple consensus clustering. The final partition is obtained via a combination of dynamic programming and hierarchical clustering, with modularity being used to determine the final clustering. This paper is particularly innovative in that it synthesizes older, but rarely used methods, such as using dynamic programmingto findclustering(Fisher 1958) with measures often used in other fields, such as modularity for determining the number of communities in network models (Newman http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Classification Springer Journals

Editorial: Journal of Classification Vol. 36-3

Steinley, Douglas
Journal of Classification , Volume 36 (3) – Dec 3, 2019
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References (17)

Publisher
Springer Journals
Copyright
Copyright © 2019 by The Classification Society
Subject
Statistics; Statistical Theory and Methods; Pattern Recognition; Bioinformatics; Signal,Image and Speech Processing; Psychometrics; Marketing
ISSN
0176-4268
eISSN
1432-1343
DOI
10.1007/s00357-019-09356-y
Publisher site
See Article on Publisher Site

Abstract

Journal of Classification (2019) 36:393–396 https://doi.org/10.1007/s00357-019-09356-y Douglas L. Steinley Published online: 3 D ecem ber 2019 The Classification Society 2019 The third and final issue for 2019 has fourteen articles that span a wide range of topics. The first article, by Douglas Steinley and Michael Brusco adapts a clustering approach for detecting multidimensionality in the context of item response models. Specifically, the authors adapted the approaches in Steinley (2003, 2006) to use the number of locally optimal solutions to indicate the quality of fit; succinctly, a greater presence of locally optimal solutions indicates a worse fitting solution. In the second paper, the quartet of authors Tao Li, Yi Zhang, Dingding Wang, and Jian Xu introduce a consensus clustering method that extends the standard consensus clustering approach of obtaining one consensus clustering to multiple consensus clustering. The final partition is obtained via a combination of dynamic programming and hierarchical clustering, with modularity being used to determine the final clustering. This paper is particularly innovative in that it synthesizes older, but rarely used methods, such as using dynamic programmingto findclustering(Fisher 1958) with measures often used in other fields, such as modularity for determining the number of communities in network models (Newman

Journal

Journal of Classification – Springer Journals

Published: Dec 3, 2019

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