cluster_own <- function(Z, nclust) {
  true <- TRUE
  false <- FALSE
  maxclust <- nclust
  # % Start of algorithm
  m <- size(Z, 1) + 1
  T <- zeros(m, 1)
  # % maximum number of clusters based on inconsistency
  if (m <= maxclust) {
    T <- t((1:m))
  } else if (maxclust == 1) {
    T <- ones(m, 1)
  } else {
    clsnum <- 1
    for (k in (m - maxclust + 1):(m - 1)) {
      i <- Z[k, 1] # left tree
      if (i <= m) { # original node, no leafs
        T[i] <- clsnum
        clsnum <- clsnum + 1
      } else if (i < (2 * m - maxclust + 1)) {
        # created before cutoff, search down the tree
        T <- clusternum(Z, T, i - m, clsnum)
        clsnum <- clsnum + 1
      }
      i <- Z[k, 2] # right tree
      if (i <= m) { # original node, no leafs
        T[i] <- clsnum
        clsnum <- clsnum + 1
      } else if (i < (2 * m - maxclust + 1)) {
        # created before cutoff, search down the tree
        T <- clusternum(Z, T, i - m, clsnum)
        clsnum <- clsnum + 1
      }
    }
  }
  return(T)
}