היצוא הצליח — 

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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Nghị Vĩnh Khanh
מחברים אחרים: Dr. Richard H. Fowler, Dr. Wendy A. Lawrence-Fowler, Dr. Zhixiang Chen
שפה:eng
יצא לאור: University of Texas-Pan 2023
גישה מקוונת:https://opac.tvu.edu.vn/pages/opac/wpid-detailbib-id-43011.html
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
Thư viện lưu trữ: Trung tâm Học liệu – Phát triển Dạy và Học, Trường Đại học Trà Vinh
id https:--opac.tvu.edu.vn:9090-api-oai:43011
record_format dspace
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
_version_ 1812601057552891904