# On the Incommensurability Phenomenon

### Paper

This page provides data for the paper:

Donniell E. Fishkind, Cencheng Shen, Youngser Park, Carey E. Priebe, “On the Incommensurability Phenomenon,” *Journal of Classification*, accepted for publication, 2015.

### Data

The data is originally from:

J.T. Vogelstein, Y. Park, T. Ohyama, R. Kerr, J.W. Truman, C.E. Priebe, M. Zlatic, “Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning,” *Science*, vol. 344 no. 6182, 386-392, April 25, 2014. doi:10.1126/science.1250298.

They are in two formats:

Both data contain:

`DATA`

: \(37780 \times 1000\) feature matrix, where \(n=37780\) is the total number of animals and \(d=1000\) is the PCA dimension,
`membership`

: a vector of length of \(37780\) of dish labels \(\in \{1,\ldots,2062\}\),
`controls`

: a vector of length of \(37780\) of control labels \(\in\) {`11f0`

, `20c0`

, `38a1`

, `38a2`

, `61d0`

, `iav1`

, `none`

, `pbd1`

, `pbd2`

, `pbd3`

, `ppk1`

, `ppk2`

.

In the paper, we used `controls = pbd1`

which yields \(n=4465\) and `membership`

\(\in \{1,\ldots,242\}\)

*prepared by youngser@jhu.edu on Tue Feb 10 11:31:47 2015*