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Clustering algorithm based on asymmetric similarity and paradigmatic features
(Inderscience Enterprises Ltd., 2016)
Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and information retrieval. Various similarity measures are categorised in both syntactic and semantic ...
Double distance-calculation-pruning for similarity search
(2018-05-17)
Many modern applications deal with complex data, where retrieval by similarity plays an important role. Complex data main comparison mechanisms are based on similarity predicates. They are usually immersed in metric spaces ...
DBM*-Tree: An efficient metric acces method
(Scopus, 2007)
In this paper we propose a new dynamic Metric Access Method (MAM) called DBM*-Tree, which uses precomputed distances to reduce the construction cost avoiding repeated calculus of distance. Making use of the pre-calculated ...
Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data
(Springer, 2020)
To study concepts that are coded in language, researchers often collect lists of conceptual properties produced by human subjects. From these data, different measures can be computed. In particular, inter-concept similarity ...
Structural and semantic similarity for XML comparison
(Scopus, 2013)
XML has experimented a rapid growth mostly because of its application on the Web. Application varies from version control management, data storage to clustering and information retrieval. In this context, it is necessary ...
Algoritmos para la búsqueda eficiente de instancias similares
(2007)
En el presente trabajo encaramos el desafío de buscar objetos similares dentro de una colección muy grande de estos objetos. Encontramos dos dificultades en éste problema: en primer lugar definir una medida de similitud ...
Informational content of cosine and other similarities calculated from high-dimensional Conceptual Property Norm data.
To study concepts that are coded in language, researchers often collect lists of conceptual properties produced by human subjects. From these data, diferent measures can be computed. In particular, inter-concept similarity ...
An analysis of context-based similarity tasks in textbooks from Brazil and the United States
(2017-11-17)
Three textbooks from Brazil and three textbooks from the United States were analysed with a focus on similarity and context-based tasks. Students’ opportunities to learn similarity were examined by considering whether ...
A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms ...