2014年
Econo-ESA reduction scheme and the impact of its index matrix density
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014
- ,
- ,
- ,
- 巻
- 35
- 号
- 開始ページ
- 474
- 終了ページ
- 483
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1016/j.procs.2014.08.128
- 出版者・発行元
- ELSEVIER SCIENCE BV
Econo-ESA is an economic scheme of the explicit semantic analysis (ESA). The scheme properly decreases the ESA index matrix dimensions to achieve faster process with similar results. This paper discusses index matrix dimensional reduction schemes of econo-ESA. We did experiments with several schemes: random selection, k-means clustering, norm-based clustering, densest, and sparsest schemes. Each resulted matrix had different element values and density. Our experimental results showed that the random selection scheme, which had the nearest density to the original index matrix, gave the best results. We thus conclude that the index matrix density is an additional feature which has to be considered in econo-ESA. (C) 2014 The Authors. Published by Elsevier B.V.
- リンク情報
-
- DOI
- https://doi.org/10.1016/j.procs.2014.08.128
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000345394100048&DestApp=WOS_CPL
- URL
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84924183297&origin=inward
- ID情報
-
- DOI : 10.1016/j.procs.2014.08.128
- ISSN : 1877-0509
- SCOPUS ID : 84924183297
- Web of Science ID : WOS:000345394100048