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Editorial: Journal of Classification Vol. 36-3

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  • Douglas L. Steinley

    (University of Missouri)

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  • Douglas L. Steinley, 2019. "Editorial: Journal of Classification Vol. 36-3," Journal of Classification, Springer;The Classification Society, vol. 36(3), pages 393-396, October.
    • Handle: RePEc:spr:jclass:v:36:y:2019:i:3:d:10.1007_s00357-019-09356-y
    DOI: 10.1007/s00357-019-09356-y
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    References listed on IDEAS

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    1. Haydemar Núñez & Luis Gonzalez-Abril & Cecilio Angulo, 2017. "Improving SVM Classification on Imbalanced Datasets by Introducing a New Bias," Journal of Classification, Springer;The Classification Society, vol. 34(3), pages 427-443, October.
    2. Wenxin Zhu & Yunyan Song & Yingyuan Xiao, 2018. "A New Support Vector Machine Plus with Pinball Loss," Journal of Classification, Springer;The Classification Society, vol. 35(1), pages 52-70, April.
    3. Weiliang Qiu & Harry Joe, 2006. "Generation of Random Clusters with Specified Degree of Separation," Journal of Classification, Springer;The Classification Society, vol. 23(2), pages 315-334, September.
    4. Glenn Milligan, 1985. "An algorithm for generating artificial test clusters," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 123-127, March.
    5. Douglas Steinley & Robert Henson, 2005. "OCLUS: An Analytic Method for Generating Clusters with Known Overlap," Journal of Classification, Springer;The Classification Society, vol. 22(2), pages 221-250, September.
    6. Abby Flynt & Nema Dean, 2019. "Growth Mixture Modeling with Measurement Selection," Journal of Classification, Springer;The Classification Society, vol. 36(1), pages 3-25, April.
    7. Sven Herrmann & Katharina Huber & Vincent Moulton & Andreas Spillner, 2012. "Recognizing Treelike k-Dissimilarities," Journal of Classification, Springer;The Classification Society, vol. 29(3), pages 321-340, October.
    8. Hans-Friedrich Köhn & Chia-Yi Chiu, 2018. "How to Build a Complete Q-Matrix for a Cognitively Diagnostic Test," Journal of Classification, Springer;The Classification Society, vol. 35(2), pages 273-299, July.
    9. Maryam Abaszade & Sohrab Effati, 2019. "A New Method for Classifying Random Variables Based on Support Vector Machine," Journal of Classification, Springer;The Classification Society, vol. 36(1), pages 152-174, April.
    10. Douglas Steinley & Lawrence Hubert, 2008. "Order-Constrained Solutions in K-Means Clustering: Even Better Than Being Globally Optimal," Psychometrika, Springer;The Psychometric Society, vol. 73(4), pages 647-664, December.
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