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View tree.py
# Given a binary tree, this routine computes new coordinates for visualization purposes
# (reduces overlap between nodes).
# ix (paix) should be np.arrays that have integer indices for nodes (parent nodes).
# paix of root should be -1.
# depth is a np.array with integer value of the depth, and
# coords is 2d initial coordinates of each node.
# It works as follows, as a physics simulation:
# - y coordinates are fixed by looking at the depth (not free).
View HashedArray.cpp
#include <iostream>
#include <vector>
#include <map>
#include <cmath>
using namespace std;
// Hashed array
template <class T>
class HashedArray
View hgfc.R
# Ozan Irsoy, 2013
# Graph factorization.
# W: adjacency matrix
# m: # clusters (# vertices in U)
gfact = function(W, m) {
n = dim(W)[1]
H = matrix(runif(n*m,1,2),n,m)
L = diag(runif(m,1,2))