Message-ID: <8b356f880812301022k7d14d68eh62fb0c47b32c4093@mail.gmail.com>
Date: 2008-12-30T18:22:47Z
From: Stavros Macrakis
Subject: R: I would appreciate some help with clustering
In-Reply-To: <6B32C438581E5D4C8A34C377C3B334A401752941@FBCMST11V04.fbc.local>
On Tue, Dec 30, 2008 at 8:44 AM, <mauede at alice.it> wrote:
> It is no homework. It is part of a project where a binary matrix, whose 1s represent the position of the highest DWT coefficients energy, is used as a template to extract signal features.
> The approach I am following requires each row of the binary matrix (correspondent to a DWT scale level) to be clustered separately subject to the requirements of generating as many clusters as the numbers of 1s and having the 1s a the centers of the respective clusters.
Perhaps look into the rle (run-length encoding) function? It may be
useful to you directly, or the methods it uses internally may be
useful.
-s
PS The word 'cluster' may be confusing in some contexts. Perhaps it
would be better to call them 'runs'.