Possibilistic Ordination-Based Analysis of an Imperfect Database

被引：0
作者：
Dahabiah, Anas [1 ,2 ]
Puentes, John [1 ,2 ]
Solaiman, Basel [1 ,2 ]
机构：
[1] TELECOM Bretagne, Dept Image & Traitement Informat, Brest, France
[2] INSERM, U650, Lab Traitement Informat Med, Brest, France
来源：
2009 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2 | 2009年
关键词：
ordination; similarity; possibility theory; Robinsonian matix; ultrametric matrix; dendrogram; partition; MATRICES; ORDER;
D O I：
10.1109/AICCSA.2009.5069325
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An approach that aims to reveal and to explain the pattern of information potentially present in a dataset consisting of n objects by ordering them using the possibility-based Robinsonian similarity matrix is proposed. The similarity is estimated between objects containing imperfect and heterogeneously-assigned data. A graph-based model is proposed to visualize these patterns. This method is applied to a medical database. Without any a priori medical knowledge and without knowing the key attributes of the pathologies, the objects have been ranked according to their corresponding classes.
引用
收藏
页码：199 / +
页数：2
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