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Journal of Classification

Ausgabe 3/2019

Inhalt (17 Artikel)

MCC: a Multiple Consensus Clustering Framework

Tao Li, Yi Zhang, Dingding Wang, Jian Xu

Note: t for Two (Clusters)

Stanley L. Sclove

Open Access

The δ-Machine: Classification Based on Distances Towards Prototypes

Beibei Yuan, Willem Heiser, Mark de Rooij

Open Access

Three-Way Symbolic Tree-Maps and Ultrametrics

Katharina T. Huber, Vincent Moulton, Guillaume E. Scholz

Open Access

A Note on Applying the BCH Method Under Linear Equality and Inequality Constraints

L. Boeschoten, M. A. Croon, D. L. Oberski

Open Access

MDCGen: Multidimensional Dataset Generator for Clustering

Félix Iglesias, Tanja Zseby, Daniel Ferreira, Arthur Zimek

Open Access

Comparing the Utility of Different Classification Schemes for Emotive Language Analysis

Lowri Williams, Michael Arribas-Ayllon, Andreas Artemiou, Irena Spasić

Card Sorting Data Collection Methodology: How Many Participants Is Most Efficient?

Ethan Lantz, Jared W. Keeley, Michael C. Roberts, Maria Elena Medina-Mora, Pratap Sharan, Geoffrey M. Reed

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