Document collection visualization and clustering using an atom metaphor for display and interaction

This thesis proposes a new approach to build a 3D clustering visualization system for document clustering by using k-mean algorithm. A cluster will be represented by a neutron (centroid) and electrons (documents) which will keep a distance with neutron by force. Our approach employs quantified domai...

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Tác giả chính: Nghị Vĩnh Khanh
Tác giả khác: Dr. Richard H. Fowler, Dr. Wendy A. Lawrence-Fowler, Dr. Zhixiang Chen
Ngôn ngữ:eng
Được phát hành: University of Texas-Pan 2023
Truy cập trực tuyến:https://opac.tvu.edu.vn/pages/opac/wpid-detailbib-id-43011.html
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Thư viện lưu trữ: Trung tâm Học liệu – Phát triển Dạy và Học, Trường Đại học Trà Vinh
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spelling https:--opac.tvu.edu.vn:9090-api-oai:430112023-06-14T00:20:11Z Document collection visualization and clustering using an atom metaphor for display and interaction Nghị Vĩnh Khanh This thesis proposes a new approach to build a 3D clustering visualization system for document clustering by using k-mean algorithm. A cluster will be represented by a neutron (centroid) and electrons (documents) which will keep a distance with neutron by force. Our approach employs quantified domain knowledge and explorative observation as prediction to map high dimensional data onto 3D space for revealing the relationship among documents. User can perform an intuitive visual assessment of the consistency of the cluster structure. University of Texas-Pan Dr. Richard H. Fowler, Dr. Wendy A. Lawrence-Fowler, Dr. Zhixiang Chen 2023-06-14T00:20:11Z pdf https://opac.tvu.edu.vn/pages/opac/wpid-detailbib-id-43011.html eng
institution Trung tâm Học liệu – Phát triển Dạy và Học, Trường Đại học Trà Vinh
collection Thư viện số
language eng
description This thesis proposes a new approach to build a 3D clustering visualization system for document clustering by using k-mean algorithm. A cluster will be represented by a neutron (centroid) and electrons (documents) which will keep a distance with neutron by force. Our approach employs quantified domain knowledge and explorative observation as prediction to map high dimensional data onto 3D space for revealing the relationship among documents. User can perform an intuitive visual assessment of the consistency of the cluster structure.
author2 Dr. Richard H. Fowler, Dr. Wendy A. Lawrence-Fowler, Dr. Zhixiang Chen
author_facet Dr. Richard H. Fowler, Dr. Wendy A. Lawrence-Fowler, Dr. Zhixiang Chen
Nghị Vĩnh Khanh
author Nghị Vĩnh Khanh
spellingShingle Nghị Vĩnh Khanh
Document collection visualization and clustering using an atom metaphor for display and interaction
author_sort Nghị Vĩnh Khanh
title Document collection visualization and clustering using an atom metaphor for display and interaction
title_short Document collection visualization and clustering using an atom metaphor for display and interaction
title_full Document collection visualization and clustering using an atom metaphor for display and interaction
title_fullStr Document collection visualization and clustering using an atom metaphor for display and interaction
title_full_unstemmed Document collection visualization and clustering using an atom metaphor for display and interaction
title_sort document collection visualization and clustering using an atom metaphor for display and interaction
publisher University of Texas-Pan
publishDate 2023
url https://opac.tvu.edu.vn/pages/opac/wpid-detailbib-id-43011.html
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