For faint photometric surveys, our ability to quantify the clustering
of galaxies has depended on interpreting the angular correlation funct
ion as a function of the limiting magnitude of the data. Because of th
e broad redshift distribution of galaxies at faint magnitude limits, t
he correlation signal has been extremely difficult to detect and inter
pret. Here we introduce a new technique for measuring the evolution of
clustering. We utilize photometric redshifts derived from multicolor
surveys to isolate redshift intervals and to calculate the evolution o
f the amplitude of the angular two-point correlation function. Applyin
g these techniques to the Hubble Deep Field, we find that the shape of
the correlation function at z = 1 is consistent with a power law with
a slope of -0.8. For z > 0.4, the best fit to the data is given by a
model of clustering evolution with a comoving r(0) = 2.37 h(-1) Mpc an
d epsilon = -0.4(-0.65)(+0.37), which is consistent with published mea
sures of the clustering evolution. To match the canonical value of r(0
) = 5.4 h(-1) Mpc found for the clustering of local galaxies requires
a value of epsilon = 2.10(-0.64)(+0.03) (significantly more than linea
r evolution). The log likelihood of this latter fit is 4.15 times smal
ler than that for the r(0) = 2.37 h(-1) Mpc model. We, therefore, conc
lude that the parameterization of the clustering evolution of (1+2)(-(
3+epsilon)) is not a particularly good fit to the data.