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/ http://journalarticle.ukm.my/3687/

id	ukm-3687
recordtype	eprints
spelling	ukm-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
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.
format	Article
author	Tengku Mohd. T. Sembok,
spellingShingle	Tengku Mohd. T. Sembok, Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
author_facet	Tengku Mohd. T. Sembok,
author_sort	Tengku Mohd. T. Sembok,
title	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_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_sort	multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters
publisher	Universiti Kebangsaan Malaysia
publishDate	1996
url	http://journalarticle.ukm.my/3687/ http://journalarticle.ukm.my/3687/
first_indexed	2023-09-18T19:39:28Z
last_indexed	2023-09-18T19:39:28Z
_version_	1777405492640874496

Multi-stage imaging retrieval: a relevance feedback retrieval with nearest neighbour clusters

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