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### Implications of a recent result on Benford's law

I want to the discuss the implications of a theorem by J. Morrow (2010) regarding Benford's law.
There are many papers written about Benford's law with a comprenhensive discussion of the advantages ...

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### isomap and self intersections

I sample a 2D surface in $\mathbb{R}^3$ with $N$ points, and compute an isomap using pairwise weighted geodesic distances. I am thus able to embed this surface into a $M$ dimensional space in which ...

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### Classical Multidimensional Scaling

Hi,
I am doing an MDS with a distance matrix coming from geodesic distances between points X on a 3d mesh (ie., not euclidean distances), and try to find points Y in euclidean space which best ...

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### Cluster-preserving and distance-maximizing embedding into Hamming Space?

I have a set of data, each instance in the real $[0,1]^{d}$. However, it's actually all in a relatively small range around 0.5, clustered into classes in even smaller ranges. The actual origin of the ...

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### Database of non-isomorphic trees

As there are several free prime number databases, is there something similar for non-isomorphic trees?

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### What is the reliable way to find the errors on the eigen values of a covariance matrix?

My question may be a bit lousy. Suppose we have a set of statistical variables X1, X2, .. Xn, and we have N independent samples. We can compute the covariance matrix of {X}. My question is: Is there a ...

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### Unusual function computation in signal processing

Hi,
I wonder if there is 'an operation' that allow me to compute this special function faster than square-time $O(n^2)$.
Assume we have functions $f(x)$ and $h(x)$. $h(x)$ has a special point ...

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### Extrapolate trend in gridded data

I'm interested in extrapolating measured horizontal wind data of a vehicle into a forecast horizontal wind grid. Given the flight path you have a series of points that are "more accurate" than the ...