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well, it just seemed better to make it a page. and it seemed worth doing as i added a few more books. after it gets bigger, i’ll be able to create subpages for specialized bibliographies. i’ve been too busy lately. adding a few books was something i could do in the evenings.
i’ve had a friend visiting for a while, and i had better things to do than math. oh, math is good, but friends are better. in moderation.
Less is more. And more is huge. It is easy for me to end up with huge posts to put out here, but I’d rather go with smaller.
Let’s get started with PCA / FA, principal components analysis and factor analysis.
In case it matters, I am using Mathematica to do these computations.
Here is an example, the first of several. This comes from Harman’s “factor analysis”. In order to emphasize the distinction between PCA and FA, he has one example of principal component analysis, and this is it.
Let me tell you up front what he did:
I also need to say that his conceptual model is written
Z = A F,
And from the dimensions of the matrices it is clear that
A is square, k by k
Z and F are the same shape, with k rows.
We infer from its size that A will be derived from the eigenvector matrix, and that Z is derived from the given data matrix. From the shapes, we conclude that Z has observations in columns, rather than in rows. (If you’re used to econometrics or regression, you expect the transpose, observations in rows.)
But this is a fine thing, because we recognize that Z = A F is a change-of-basis equation for corresponding columns of Z and F; A is a transition matrix mapping new components (any one column of F) to old components (a column of Z).
Ok, the holidays are behind me. One friend called me to make sure I was ok, because I had made no blog entries in two weeks. Well, my Xmas letter took a little longer than usual this year; and there was the return to work. I think that trying to write about mathematics had affected my letter-writing style, and I had to work at recovering it. For the Xmas letter, one of my guiding principles is to not take myself too seriously.
For this blog, however, I worry about the line between seeming all-too-human and seeming off-the-wall. What comes across as human in a personal letter may seem flaky in mathematics. Maybe I’ll just have to be myself and leave it for you to judge.
Donal O’Shea’s “the Poincare’ conjecture” arrived from Amazon Wednesday. I read chapters 1 & 2 before getting caught up in routine, then read the rest of the book last night (Friday).