Pregled bibliografske jedinice broj: 941930
Classification of textual documents represented in lower dimensional space by supervised Reduced k-means method
Classification of textual documents represented in lower dimensional space by supervised Reduced k-means method // Book of Abstracts of the ISCCRO, International Statistical Conference in Croatia / Dumičić, Ksenija ; Erjavec, Nataša ; Pejić Bach, Mirjana ; Žmuk, Berislav (ur.).
Zagreb, 2018. str. 54-54 (predavanje, međunarodna recenzija, sažetak, ostalo)
CROSBI ID: 941930 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Classification of textual documents represented in lower dimensional space by supervised Reduced k-means method
Autori
Dobša, Jasminka ; Kiers, Henk A. L.
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo
Izvornik
Book of Abstracts of the ISCCRO, International Statistical Conference in Croatia
/ Dumičić, Ksenija ; Erjavec, Nataša ; Pejić Bach, Mirjana ; Žmuk, Berislav - Zagreb, 2018, 54-54
Skup
2nd International Statistical Conference in Croatia (ISCCRO 2018)
Mjesto i datum
Opatija, Hrvatska, 10.05.2018. - 11.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
classification, Reduced k-means method, reduction of dimension, textual documents
Sažetak
The aim of our research is to perform reparameterization of original representations of textual documents in bag of words model in order to enhance performance of their automatic classification. We have used a variant of the Reduced k-means method for a supervised setting which aims at reduction of variables by capturing the clustering structure present in the data. Experiments on Reuters21578 data set show that by representation of documents by this method the same level of precision of classification can be achieved on the higher level of recall as the representation by the benchmark method of the latent semantic indexing.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin
Profili:
Jasminka Dobša
(autor)