Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
Imaging Retrieval is a retrieval strategy which is based on modal logic where documents are viewed as possible worlds which are related through an accessibility relation established using their similarity/dissimilarity coefficients. With these accessibility relation documents are grouped into cluste...
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| Format: | Article |
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Universiti Kebangsaan Malaysia
1996
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| Online Access: | http://journalarticle.ukm.my/3687/ http://journalarticle.ukm.my/3687/ |
| Summary: | Imaging Retrieval is a retrieval strategy which is based on modal logic where documents are viewed as possible worlds which are related through an accessibility relation established using their similarity/dissimilarity coefficients. With these accessibility relation documents are grouped into clusters based on a nearest neighbour concept. The work reported in this paper sets out to implement and evaluate the imaging retrieval as a relevance feedback retrieval with nearest neighbour clusters. The retrieval is implemented in two variations: a one-stage and a multi-stage retrieval. The results obtained from the experiments are enough to show the viability and validity of this strategy and to support it as something worth looking into further. |
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