Naslov
Capturing clustering structure of the data in cross-language representation of textual documents

Autori
Dobša, Jasminka

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstracts BIOSTAT 2019 / Jazbec, A. ; Pecina, M. ; Sonicki, Z ; Šimić, D. ; Vedriš, M. ; Sović, S. - Zagreb : Hrvatsko biometrijsko društvo, 2019, 31-31

Skup
24th International Scientific Symposium on Biometrics (BIOSTAT 2019)

Mjesto i datum
Zagreb, Hrvatska, 05.06.2019. - 08.06.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
clustering, textual documents, cross-language representation

Sažetak
In the paper is proposed a new approach for representation of textual documents in lowerdimensional space. Approach aims at capturing clustering structure of the data in the goal of further application for cross-language classification of textual documents. The proposed approach is based on factorization of a term- document matrix by an iterative method of Reduced k-means clustering. Method of Reduced k- means aims at simultaneous reduction of objects (documents) and variables (index terms). Proposed method is compared to standard machine learning techniques of cross- language representation of textual documents by usage of latent semantic indexing and canonical correlation analysis.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA