SCA with rotation to distinguish common and distinctive information in linked data.
about
Longitudinal omics modeling and integration in clinical metabonomics research: challenges in childhood metabolic health researchPerforming DISCO-SCA to search for distinctive and common information in linked data.Integrative clustering of high-dimensional data with joint and individual clusters.Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints.Chemometrics in analytical chemistry-part I: history, experimental design and data analysis tools.Common and distinct components in data fusion
P2860
SCA with rotation to distinguish common and distinctive information in linked data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
SCA with rotation to distinguish common and distinctive information in linked data.
@ast
SCA with rotation to distinguish common and distinctive information in linked data.
@en
type
label
SCA with rotation to distinguish common and distinctive information in linked data.
@ast
SCA with rotation to distinguish common and distinctive information in linked data.
@en
prefLabel
SCA with rotation to distinguish common and distinctive information in linked data.
@ast
SCA with rotation to distinguish common and distinctive information in linked data.
@en
P2093
P2860
P1476
SCA with rotation to distinguish common and distinctive information in linked data.
@en
P2093
Iven Van Mechelen
Katrijn Van Deun
Martijn Schouteden
Sven Pattyn
P2860
P2888
P304
P356
10.3758/S13428-012-0295-9
P577
2013-09-01T00:00:00Z
P5875
P6179
1025497351