def voronoiAnalysis(bin_file, density_factor, output_directory, min_size=30):
# save a record of the clustering parameters.
bin_dir = os.path.dirname(bin_file)
if (len(bin_dir) == 0):
bin_dir = "."
with open(bin_dir + "/voroni.txt", "w") as fp:
fp.write("density factor = " + str(density_factor) + "\n")
fp.write("min_size = " + str(min_size) + "\n")
cl_bin_file = output_directory + os.path.basename(
bin_file)[:-8] + "srt_list.bin"
# find clusters
if True:
voronoi.voronoi(bin_file, cl_bin_file, density_factor, min_size)
# cluster stats
if True:
clusterStats.clusterStats(cl_bin_file, min_size - 1)
# cluster size
if True:
clusterSize.clusterSize(cl_bin_file,
cl_bin_file[:-8] + "size_list.bin")
def dbscanAnalysis(bin_file, channel, eps = 40, mc = 10, min_size = 50):
# save a record of the clustering parameters.
bin_dir = os.path.dirname(bin_file)
if (len(bin_dir) == 0):
bin_dir = "."
with open(bin_dir + "/dbscan.txt", "w") as fp:
fp.write("eps = " + str(eps) + "\n")
fp.write("mc = " + str(mc) + "\n")
fp.write("min_size = " + str(min_size) + "\n")
cl_bin_file = bin_file[:-8] + "clusters_list.bin"
# find clusters
if True:
findClusters.findClusters(bin_file, cl_bin_file, eps, mc)
# cluster stats
if True:
clusterStats.clusterStats(cl_bin_file, min_size - 1)
# cluster size
if True:
clusterSize.clusterSize(cl_bin_file, cl_bin_file[:-8] + "size_list.bin")
def voronoiAnalysis(bin_file, density_factor, output_directory, min_size = 30):
# save a record of the clustering parameters.
bin_dir = os.path.dirname(bin_file)
if (len(bin_dir) == 0):
bin_dir = "."
with open(bin_dir + "/voroni.txt", "w") as fp:
fp.write("density factor = " + str(density_factor) + "\n")
fp.write("min_size = " + str(min_size) + "\n")
cl_bin_file = output_directory + os.path.basename(bin_file)[:-8] + "srt_list.bin"
# find clusters
if True:
voronoi.voronoi(bin_file, cl_bin_file, density_factor, min_size)
# cluster stats
if True:
clusterStats.clusterStats(cl_bin_file, min_size - 1)
# cluster size
if True:
clusterSize.clusterSize(cl_bin_file, cl_bin_file[:-8] + "size_list.bin")
def dbscanAnalysis(bin_file, channel, eps=40, mc=10, min_size=50):
# save a record of the clustering parameters.
bin_dir = os.path.dirname(bin_file)
if (len(bin_dir) == 0):
bin_dir = "."
with open(bin_dir + "/dbscan.txt", "w") as fp:
fp.write("eps = " + str(eps) + "\n")
fp.write("mc = " + str(mc) + "\n")
fp.write("min_size = " + str(min_size) + "\n")
cl_bin_file = bin_file[:-8] + "clusters_list.bin"
# find clusters
if True:
findClusters.findClusters(bin_file, cl_bin_file, eps, mc)
# cluster stats
if True:
clusterStats.clusterStats(cl_bin_file, min_size - 1)
# cluster size
if True:
clusterSize.clusterSize(cl_bin_file,
cl_bin_file[:-8] + "size_list.bin")