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Update file #5

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7 changes: 3 additions & 4 deletions pydpc/_reference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,7 +55,7 @@ def assign(self, min_density, min_delta, border_only=False):
self._get_membership()
self._get_halo()
def _get_distances(self):
self.distances = _np.zeros(shape=(self.npoints, self.npoints), dtype=_np.float64)
self.distances = _np.zeros(shape=(self.npoints, self.npoints), dtype=_np.float16)
for i in range(self.npoints - 1):
for j in range(i + 1, self.npoints):
self.distances[i, j] = _np.linalg.norm(self.points[i, :] - self.points[j, :])
Expand Down Expand Up @@ -89,9 +89,8 @@ def _get_delta_and_neighbour(self):
self.neighbour[self.order[i]] = self.order[j]
self.delta[self.order[0]] = self.delta.max()
def _get_cluster_indices(self):
self.clusters = _np.intersect1d(
_np.where(self.density > self.min_density)[0],
_np.where(self.delta > self.min_delta)[0], assume_unique=True)
#self.clusters = _np.intersect1d(_np.where(self.density > self.min_density)[0],_np.where(self.delta > self.min_delta)[0], assume_unique=True)
self.clusters = _np.where(_np.percentile(self.density*self.delta,self.percent)<=self.density*self.delta)[0].astype(_np.intc)
self.ncl = self.clusters.shape[0]
def _get_membership(self):
self.membership = -1 * _np.ones(shape=self.order.shape, dtype=_np.intc)
Expand Down