Self Organization of a Massive Document Collection
... Take original d-dimensional data X and project to a k-dimensional ( k << d ) subspace through the origin Use a random k x d matrix R, the elements in each column of which are normally distributed vectors having unit length: Rk x d Xd x N => new matrix Xk x N ...
... Take original d-dimensional data X and project to a k-dimensional ( k << d ) subspace through the origin Use a random k x d matrix R, the elements in each column of which are normally distributed vectors having unit length: Rk x d Xd x N => new matrix Xk x N ...
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... You can find EVERYTHING you need to know about MATLAB from the online HelpDesk. ...
... You can find EVERYTHING you need to know about MATLAB from the online HelpDesk. ...
