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'''
Default clustering parameters
'''
from numpy import log
default_parameters = dict(
prior_point=1,
mua_point=2,
noise_point=1,
points_for_cluster_mask=100,
penalty_k=0.0,
penalty_k_log_n=1.0,
max_iterations=1000,
num_starting_clusters=500,
use_noise_cluster=True,
use_mua_cluster=True,
num_changed_threshold=0.05,
full_step_every=1,
split_first=20,
split_every=40,
max_possible_clusters=1000,
dist_thresh=log(10000.0),
max_quick_step_candidates=100000000, # this uses around 760 MB RAM
max_quick_step_candidates_fraction=0.4,
always_split_bimodal=False,
subset_break_fraction=0.01,
break_fraction=0.0,
fast_split=False,
max_split_iterations=None,
consider_cluster_deletion=True,
num_cpus=None,
)
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