Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data
نویسندگان
چکیده
منابع مشابه
Multi-view Subspace Clustering for High-dimensional Data
The data today is towards more observations and very high dimensions. Large high-dimensional data are usually sparse and contain many classes/clusters. For example, large text data in the vector space model often contains many classes of documents represented in thousands of terms. It has become a rule rather than the exception that clusters in high-dimensional data occur in subspaces of data, ...
متن کاملMulti-View Clustering for Mining Heterogeneous Social Network Data∗
Uncovering community structure is a core challenge in social network analysis. This is a significant challenge for large networks where there is a single type of relation in the network (e.g. friend or knows). In practice there may be other types of relation, for instance demographic or geographic information, that also reveal network structure. Uncovering structure in such multi-relational net...
متن کاملRobust Localized Multi-view Subspace Clustering
In multi-view clustering, different views may have different confidence levels when learning a consensus representation. Existing methods usually address this by assigning distinctive weights to different views. However, due to noisy nature of realworld applications, the confidence levels of samples in the same viewmay also vary. Thus considering a unified weight for a view may lead to suboptim...
متن کاملMulti-view low-rank sparse subspace clustering
Most existing approaches address multi-view subspace clustering problem by constructing the affinity matrix on each view separately and afterwards propose how to extend spectral clustering algorithm to handle multi-view data. This paper presents an approach to multi-view subspace clustering that learns a joint subspace representation by constructing affinity matrix shared among all views. Relyi...
متن کاملA subspace co-training framework for multi-view clustering
0167-8655/$ see front matter 2013 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.patrec.2013.12.003 q This paper has been recommended for acceptance by Jesús Ariel Carrasco Ochoa. ⇑ Corresponding author. Tel.: +358 41 4996553. E-mail addresses: [email protected], [email protected] (X. Zhao), [email protected] (N. Evans), [email protected] (J.-L. Dugelay). Xuran Zhao ⇑, Nichol...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Genetics
سال: 2019
ISSN: 1664-8021
DOI: 10.3389/fgene.2019.00744