def get_centroid_distance(self, cluster):
""" Calculates the centroid-linkage distance between this and another
cluster.
"""
return mam_distances(self._tracks[self.centroid],
cluster._tracks[cluster.centroid],
self.z_thr, metric="max")
def get_centroid_distance(self, cluster):
""" Calculates the centroid-linkage distance between this and another
cluster.
"""
return mam_distances(self._tracks[self.centroid],
cluster._tracks[cluster.centroid],
self.z_thr,
metric="max")
def get_complete_lnk_distance(self, cluster):
""" Calculates the complete-linkage distance between this and another
cluster.
"""
max_distance = float("-inf")
for Q in self._tracks:
for R in cluster._tracks:
distance = mam_distances(Q, R, self.z_thr, metric="max")
if distance > max_distance: max_distance = distance
return max_distance
def get_single_lnk_distance(self, cluster):
""" Calculates the single-linkage distance between this and another
cluster.
"""
min_distance = float("inf")
for Q in self._tracks:
for R in cluster._tracks:
distance = mam_distances(Q, R, self.z_thr, metric="max")
if distance < min_distance: min_distance = distance
return min_distance
def get_complete_lnk_distance(self, cluster):
""" Calculates the complete-linkage distance between this and another
cluster.
"""
max_distance = float("-inf")
for Q in self._tracks:
for R in cluster._tracks:
distance = mam_distances(Q, R, self.z_thr, metric="max")
if distance > max_distance: max_distance = distance
return max_distance
def get_single_lnk_distance(self, cluster):
""" Calculates the single-linkage distance between this and another
cluster.
"""
min_distance = float("inf")
for Q in self._tracks:
for R in cluster._tracks:
distance = mam_distances(Q, R, self.z_thr, metric="max")
if distance < min_distance: min_distance = distance
return min_distance