Hypothesis
发表于 2025-3-21 17:48:10
书目名称Analysis of Symbolic Data影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0156452<br><br> <br><br>书目名称Analysis of Symbolic Data读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0156452<br><br> <br><br>
遗产
发表于 2025-3-21 21:28:20
http://reply.papertrans.cn/16/1565/156452/156452_2.png
condone
发表于 2025-3-22 04:17:55
http://reply.papertrans.cn/16/1565/156452/156452_3.png
幻想
发表于 2025-3-22 05:07:58
Lars Holtkamp,Nils Arne Brockmannmplex type of data which we call . as they contain . and they are . In this context, we have a rapidly increasing need to extend standard data analysis methods (exploratory, graphical representations, clustering, factorial analysis, discrimination,…) to these symbolic data.
刺激
发表于 2025-3-22 12:08:36
http://reply.papertrans.cn/16/1565/156452/156452_5.png
Assignment
发表于 2025-3-22 14:45:38
https://doi.org/10.1007/978-3-322-80430-3se similarities as their data input. For example, in cluster analysis where we look for ‘homogeneous’ classes ., .,… of objects, it is typically required that pairs of objects from the . class have a . similarity (i.e., a . dissimilarity) and, conversely, that the similarity is . for pairs of objects from. classes (see Section 11.1).
汇总
发表于 2025-3-22 20:50:52
http://reply.papertrans.cn/16/1565/156452/156452_7.png
calamity
发表于 2025-3-23 01:15:46
Symbolic Data Analysis and the SODAS Project: Purpose, History, Perspective,mplex type of data which we call . as they contain . and they are . In this context, we have a rapidly increasing need to extend standard data analysis methods (exploratory, graphical representations, clustering, factorial analysis, discrimination,…) to these symbolic data.
中和
发表于 2025-3-23 01:51:58
http://reply.papertrans.cn/16/1565/156452/156452_9.png
壮观的游行
发表于 2025-3-23 06:23:38
Similarity and Dissimilarity,se similarities as their data input. For example, in cluster analysis where we look for ‘homogeneous’ classes ., .,… of objects, it is typically required that pairs of objects from the . class have a . similarity (i.e., a . dissimilarity) and, conversely, that the similarity is . for pairs of objects from. classes (see Section 11.1).