and see what we get. As you mentioned k-mean is a heuristic and perhaps there
is a graph-theoretical approach to find the k clusters by generalizing Fiedler
result.
Thanks, and I'll let you know
Louis
From: Louis Petingi
Sent: Saturday, February 25, 2023 5:
: Robert Kern
Sent: Saturday, February 25, 2023 4:22 PM
To: Discussion of Numerical Python
Subject: [Numpy-discussion] Re: non normalised eigenvectors
On Sat, Feb 25, 2023 at 4:11 PM Louis Petingi
mailto:louis.peti...@csi.cuny.edu>> wrote:
Hi Thanks
Very simply one of the solutions for th
Petingi
Get Outlook for iOS<https://aka.ms/o0ukef>
From: Robert Kern
Sent: Saturday, February 25, 2023 2:28:45 PM
To: Discussion of Numerical Python
Subject: [Numpy-discussion] Re: non normalised eigenvectors
On Sat, Feb 25, 2023 at 2:11 PM Louis P
of the eigenvector is easy to figure out but not for the other eigenvalues.
That is what I meant by the original eigenvector and sorry for the confusion
the confusion. Most eigenvalues/eigenvalues calculators will give you 1 for
first eigenvector
Best
Louis Petingi
Professor of Computer Science
Dear all,
I am not an expert in NumPy but my undergraduate student is having some issues
with the way Numpy returns the normalized eigenvectors corresponding to the
eigenvalues. We do understand that an eigenvector is divided by the norm to get
the unit eigenvectors, however we do need the orig
