Titlebook: Data Science and Classification; Vladimir Batagelj,Hans-Hermann Bock,Aleš Žiberna Conference proceedings 2006 Springer-Verlag Berlin Heide

寓言

书目名称Data Science and Classification影响因子(影响力)




书目名称Data Science and Classification影响因子(影响力)学科排名




书目名称Data Science and Classification网络公开度




书目名称Data Science and Classification网络公开度学科排名




书目名称Data Science and Classification被引频次




书目名称Data Science and Classification被引频次学科排名




书目名称Data Science and Classification年度引用




书目名称Data Science and Classification年度引用学科排名




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书目名称Data Science and Classification读者反馈学科排名

Outshine

笨拙的你

Hierarchical Clustering for Boxplot Variables a new kind of symbolic variable. In addition, two different approaches to measure distances between boxplot variables are proposed. The usefulness of these distances is illustrated by means of a hierarchical clustering of boxplot data.

极端的正确性

deciduous

Metabolism of Proteins and Amino Acidsis generated to reproduce and show the limited conditions for the Fréchet distance. The proposed dissimilarity index is then compared with the Fréchet estimate and results illustrating its efficiency are reported.

CHOKE

Eric A. Heller MD,George D. Dangas MDbetween the units into account. The advantages of the new measure are illustrated by a study of the sensitivity against incomplete sampling and changes in the definition of the geographic units in two real data sets.

CHOKE

木讷

Arthur Freeman,Frank M. Dattilio a small categorical dataset. DIVCLUS-T is then compared empirically with two polythetic clustering methods: the Ward ascendant hierarchical clustering method and the k-means partitional method. The three algorithms are applied and compared on six databases of the UCI Machine Learning repository.

Conducive

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