3RNN/Lib/site-packages/sklearn/cluster/_dbscan_inner.pyx
2024-05-26 19:49:15 +02:00

41 lines
1.3 KiB
Cython

# Fast inner loop for DBSCAN.
# Author: Lars Buitinck
# License: 3-clause BSD
from libcpp.vector cimport vector
from ..utils._typedefs cimport uint8_t, intp_t
def dbscan_inner(const uint8_t[::1] is_core,
object[:] neighborhoods,
intp_t[::1] labels):
cdef intp_t i, label_num = 0, v
cdef intp_t[:] neighb
cdef vector[intp_t] stack
for i in range(labels.shape[0]):
if labels[i] != -1 or not is_core[i]:
continue
# Depth-first search starting from i, ending at the non-core points.
# This is very similar to the classic algorithm for computing connected
# components, the difference being that we label non-core points as
# part of a cluster (component), but don't expand their neighborhoods.
while True:
if labels[i] == -1:
labels[i] = label_num
if is_core[i]:
neighb = neighborhoods[i]
for i in range(neighb.shape[0]):
v = neighb[i]
if labels[v] == -1:
stack.push_back(v)
if stack.size() == 0:
break
i = stack.back()
stack.pop_back()
label_num += 1