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UNI-KLU
SMART
Commits
e7437efb
Commit
e7437efb
authored
Jun 02, 2020
by
Alexander Lercher
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Minor cleanup Role Detection Clusterer
parent
cb80a8d9
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1
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6 deletions
+6
-6
clusterer.py
...ction-microservice/app/processing/clustering/clusterer.py
+6
-6
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src/data-hub/community-detection-microservice/app/processing/clustering/clusterer.py
View file @
e7437efb
import
json
import
numpy
as
np
import
matplotlib.pyplot
as
plt
from
sklearn.cluster
import
DBSCAN
,
OPTICS
from
sklearn.cluster
import
OPTICS
from
typing
import
List
,
Dict
,
Any
,
TypeVar
from
deprecated
import
deprecated
...
...
@@ -11,12 +11,12 @@ ClusterGroup = Dict[Any, List[Dict]]
class
Clusterer
:
'''
Clusterer for applying density-based clustering on datasets.
The clustering is done with
DBSCAN
.
The clustering is done with
OPTICS
.
:param epsilon: Eps
ilon used in DBSCAN
:param min_points: Min
_points used in DBSCAN
:param epsilon: Eps
used in OPTICS
:param min_points: Min
Pts used in OPTICS
'''
def
__init__
(
self
,
epsilon
=
11
,
min_points
=
2
):
def
__init__
(
self
,
epsilon
=
11
,
min_points
=
5
):
self
.
epsilon
=
epsilon
self
.
min_points
=
min_points
...
...
@@ -59,7 +59,7 @@ class Clusterer:
if
features
is
None
or
len
(
features
)
==
0
:
return
features
# trash in trash out
dbsc
=
OPTICS
()
# DBSCAN(eps = self.epsilon, min_samples = self.min_points)
dbsc
=
OPTICS
(
min_samples
=
self
.
min_points
)
# DBSCAN(eps = self.epsilon, min_samples = self.min_points)
dbsc
=
dbsc
.
fit
(
features
)
labels
=
dbsc
.
labels_
...
...
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