Identifying clusters in Czekanowski's diagram
Mathematica Applicanda, Tome 51 (2023) no. 2, pp. 183-198
Cet article a éte moissonné depuis la source Annales Societatis Mathematicae Polonae Series
Visualizing data through Czekanowski's diagram has as its aim to present how objects are related to each other. Often, obvious clusters of observations are directly visible. However, exactly delimiting them is not a straightforward task. We present here a development of the RMaCzek package that includes cluster identification in Czekanowski's diagrams.
Classification :
62H30, 62-04
Mots-clés : change point analysis, cluster analysis, Czekanowski's diagram, fuzzy clustering, multivariate distance methods, R, RMaCzek
Mots-clés : change point analysis, cluster analysis, Czekanowski's diagram, fuzzy clustering, multivariate distance methods, R, RMaCzek
@article{10_14708_ma_v51i2_7259,
author = {Krzysztof Bartoszek and Ying Luo},
title = {Identifying clusters in {Czekanowski's} diagram},
journal = {Mathematica Applicanda},
pages = { 183--198},
year = {2023},
volume = {51},
number = {2},
doi = {10.14708/ma.v51i2.7259},
language = {pl},
url = {http://geodesic.mathdoc.fr/articles/10.14708/ma.v51i2.7259/}
}
TY - JOUR AU - Krzysztof Bartoszek AU - Ying Luo TI - Identifying clusters in Czekanowski's diagram JO - Mathematica Applicanda PY - 2023 SP - 183 EP - 198 VL - 51 IS - 2 UR - http://geodesic.mathdoc.fr/articles/10.14708/ma.v51i2.7259/ DO - 10.14708/ma.v51i2.7259 LA - pl ID - 10_14708_ma_v51i2_7259 ER -
Krzysztof Bartoszek; Ying Luo. Identifying clusters in Czekanowski's diagram. Mathematica Applicanda, Tome 51 (2023) no. 2, pp. 183-198. doi: 10.14708/ma.v51i2.7259
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