Power Iteration Clustering projection



Input:

W - row-normalized affinity matrix

v0 - starting vector

conv - convergence threshold

maxit - maximum number of iterations



Output:

vt - 1-d PIC embedding

i - iterations ran

t - runtime-　Power Iteration Clustering projection



　Input:

　W - row-normalized affinity matrix

　v0 - starting vector

　conv - convergence threshold

　maxit - maximum number of iterations



　Output:

　vt - 1-d PIC embedding

　i - iterations ran

　t - runtime