LSA is better way for extracted new concepts from large text documents collections .. in the following example :
i have spend lot of time in Google to get explanation about the following
My questions are:
The result matrix Vtk .. similarity matrix can be build based on cosine similarity for all documents .. now how do we use this matrix for document clustering ?
can some one give a brief explanation how can we get Ak matrix .. is this matrix contain the original Term-Document matrix with reduced version?
thanks for any suggestion