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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Main Author: Tengku Mohd. T. Sembok
Format: Article
Published: Universiti Kebangsaan Malaysia 1996
Online Access:http://journalarticle.ukm.my/3687/
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author Tengku Mohd. T. Sembok,
author_facet Tengku Mohd. T. Sembok,
author_sort Tengku Mohd. T. Sembok,
building UKM Institutional Repository
collection Online Access
description 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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publishDate 1996
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spelling oai:generic.eprints.org:36872012-03-29T04:48:57Z http://journalarticle.ukm.my/3687/ Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters Tengku Mohd. T. Sembok, 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. Universiti Kebangsaan Malaysia 1996-03 Article PeerReviewed Tengku Mohd. T. Sembok, (1996) Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters. Sains Malaysiana, 25 (1). pp. 161-175. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol25num1_1996/vol25num1_96page161-175.html
spellingShingle Tengku Mohd. T. Sembok,
Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
title Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
title_full Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
title_fullStr Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
title_full_unstemmed Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
title_short Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
title_sort multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
url http://journalarticle.ukm.my/3687/
http://journalarticle.ukm.my/3687/