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God of War 2 Pc Game is an action and. Download god of war ghost of Sparta PSP iso and cso highly compressed .Nonnegative matrix factorisation
Nonnegative matrix factorisation is an algorithm that attempts to extract a low-dimensional, non-negative representation from a collection of data that are represented as a non-negative matrix. The basic goal is to find a low-dimensional representation that can be used to explain the data, that is, to explain the data in terms of the low-dimensional representation and the presence of some missing elements.
The result of NMF is a low-dimensional representation (matrices M) and a set of coefficients (vector W) that describe the data. The algorithms behind NMF can be divided into two groups:
local algorithms, which look for a low-dimensional, non-negative representation of the whole data set (the non-negative matrix) using only the non-negative elements of the data set itself
global algorithms, which look for a low-dimensional, non-negative representation of the whole data set (the non-negative matrix) using all the data set elements simultaneously.
NMF has applications in any context where a low-dimensional, non-negative representation of a data set is useful. It can be used to decompress images (e.g. for JPEG), find the number of documents in documents where pages are mixed together, find the number of items in a bag of commodities that are not known, and decompose a speech signal.
Local algorithms
Local algorithms do not look at the whole matrix at the same time. Instead, they look at the data matrix row by row. In each row, they calculate the non-negativity of the matrix elements and sum them up. Then, the vector of non-negative elements is used to fit some given model M, usually, a low-dimensional factorisation of. If M is a non-negative matrix, then every element of should be positive.
The algorithm starts with a matrix and a set of coefficients to start the iteration:
where
is the input, a non-negative data matrix
is a matrix of coefficients,
is the local optimum found so far,
is the number of factors,
is the initial weight matrix,
is a matrix of multiplication, and 0b46394aab
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