2009
DOI: 10.1007/978-3-642-02998-1_30
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Integration of a Methodology for Cluster-Based Retrieval in jColibri

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Cited by 8 publications
(5 citation statements)
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“…We obtained 15 clusters after applying the SOM clustering algorithm to the case base and we configured the system to work with the 7 most similar clusters (according to the case prototypes). We choose this value because in [10] we show that is a reasonable number of clusters that balances the time gain and precision loss. The results of the clustered CBR application are reported in the Noisy clustering linear row in Table 1 (time 35ms, precision 48,7%).…”
Section: Experiments Results and Discussionmentioning
confidence: 97%
See 2 more Smart Citations
“…We obtained 15 clusters after applying the SOM clustering algorithm to the case base and we configured the system to work with the 7 most similar clusters (according to the case prototypes). We choose this value because in [10] we show that is a reasonable number of clusters that balances the time gain and precision loss. The results of the clustered CBR application are reported in the Noisy clustering linear row in Table 1 (time 35ms, precision 48,7%).…”
Section: Experiments Results and Discussionmentioning
confidence: 97%
“…jCOLIBRI provides an extension, called Thunder [10], that allows CBR developers to manage case bases organized in clusters and incorporates an in-memory organization model based on Self-Organizing Maps (SOM) [12] as clustering technique. This technique has become one of the most used in Soft-Computing clustering [12] thanks to its capability for discovering hidden patterns and managing uncertainly and partial knowledge.…”
Section: Clustering the Case Basementioning
confidence: 99%
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“…To illustrate the DI-CBR methods in colibri we present an application, described in [66], that serves to classify automatically documents from electronic journals into different categories: laws, history, medicine, ... This system is used by librarians to assign proper bibliographic categories when a new text is included into the catalogue.…”
Section: A Di-cbr Application Build With Colibrimentioning
confidence: 99%
“…F 2 . In [2], we also describe 4 additional measures: one is from the Case-Based Reasoning (CBR) literature [7]; we define the other 3 from ideas presented in the CBR literature [12,16]. Table 2 [9,10], and we have also shown these in the Table. For the purposes of this paper, we select just three of the complexity measures, one from each of the categories.…”
Section: Measures For Maintenancementioning
confidence: 99%