寓言
发表于 2025-3-21 19:55:16
书目名称Data Science and Classification影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0263088<br><br> <br><br>书目名称Data Science and Classification读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0263088<br><br> <br><br>
Outshine
发表于 2025-3-21 20:44:00
http://reply.papertrans.cn/27/2631/263088/263088_2.png
笨拙的你
发表于 2025-3-22 02:33:43
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
发表于 2025-3-22 07:19:09
http://reply.papertrans.cn/27/2631/263088/263088_4.png
deciduous
发表于 2025-3-22 11:24:40
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
发表于 2025-3-22 14:42:22
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
发表于 2025-3-22 18:28:16
http://reply.papertrans.cn/27/2631/263088/263088_7.png
木讷
发表于 2025-3-22 22:33:37
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
发表于 2025-3-23 03:04:31
http://reply.papertrans.cn/27/2631/263088/263088_9.png
窒息
发表于 2025-3-23 09:23:20
http://reply.papertrans.cn/27/2631/263088/263088_10.png