Consensus-Based Agglomerative Hierarchical Clustering
| Autor: | David Pérez-Román, José Luis García-Lapresta |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Brown clustering Computer science Matemáticas Single-linkage clustering 02 engineering and technology Operadores Teoría de computer.software_genre Measure (mathematics) Hierarchical clustering Computer Science::Multiagent Systems 020901 industrial engineering & automation Similarity (network science) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining Hierarchical clustering of networks Cluster analysis computer Unit interval |
| Zdroj: | UVaDOC. Repositorio Documental de la Universidad de Valladolid instname Fuzzy Sets, Rough Sets, Multisets and Clustering ISBN: 9783319475561 Fuzzy Sets, Rough Sets, Multisets and Clustering |
| Popis: | Producción Científica In this contribution, we consider that a set of agents assess a set of alternatives through numbers in the unit interval. In this setting, we introduce a measure that assigns a degree of consensus to each subset of agents with respect to every subset of alternatives. This consensus measure is defined as 1 minus the outcome generated by a symmetric aggregation function to the distances between the corresponding individual assessments. We establish some properties of the consensus measure, some of them depending on the used aggregation function. We also introduce an agglomerative hierarchical clustering procedure that is generated by similarity functions based on the previous consensus measures Ministerio de Economía, Industria y Competitividad (ECO2012-32178) Junta de Castilla y León (programa de apoyo a proyectos de investigación – Ref. VA066U13) |
| Databáze: | OpenAIRE |
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