A Kernel Probabilistic Model for Semi-supervised Co-clustering Ensemble

Co-clustering is used to analyze the row and column clusters of a dataset, and it is widely used in recommendation systems. In general, different co-clustering models often obtain very different results for a dataset because each algorithm has its own optimization criteria. It is an alternative way...

Cijeli opis

Bibliografski detalji

Glavni autor:	Zhang Yinghui
Format:	Artigo
Jezik:	Inglês
Izdano:	De Gruyter 2017-12-01
Serija:	Journal of Intelligent Systems
Teme:	co-clustering co-cluster ensemble semi-supervised learning kernel probabilistic model recommend system 97r40
Online pristup:	https://doi.org/10.1515/jisys-2017-0513
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!