Mar 22, 2011 · In this paper we investigate the possibility of computing the leading eigenvectors of a large data matrix through gossip algorithms. The ...
ABSTRACT. Eigenvectors of data matrices play an important role in many computational problems, ranging from signal process-.
In this paper we investigate the possibility of computing the leading eigenvectors of a large data matrix through gossip algorithms. The proposed algorithm ...
This paper investigates the possibility of computing the leading eigenvectors of a large data matrix through gossip algorithms, and proposes an algorithm ...
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal process- ing to machine learning and control.
In this paper we investigate the possibility of computing the leading eigenvectors of a large data matrix through gossip algorithms. The proposed algorithm ...
Jun 10, 2011 · Assume. Given a symmetric matrix M stored in a distributed system. Node i has access to i-th row of M. Nodes can communicate with one ...
Dec 2, 2015 · This paper deals with Principal Components Analysis (PCA) of data spread over a network where central coordination and synchronous communication between ...
Missing: PCA | Show results with:PCA
Dec 2, 2015 · This paper deals with Principal Components Analysis (PCA) of data spread over a network where central coordination and synchronous ...
Abstract: This paper deals with the issues of the dimensionality reduction and the extraction of the structure of data using principal component analysis ...