for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
"""!
@brief Cluster analysis algorithm: BSAS
@details Implementation based on book:
- Theodoridis, Koutroumbas, Konstantinos. Elsevier Academic Press - Pattern Recognition - 2nd Edition. 2003.
@authors Andrei Novikov ([email protected])
@date 2014-2018
@copyright GNU Public License
@cond GNU_PUBLIC_LICENSE
PyClustering is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
PyClustering is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
@endcond
"""
class bsas:
def __init__(self, maximum_clusters, threshold, ccore=True):
self.__maximum_clusters = maximum_clusters;
self.__threshold = threshold;
self.__ccore = ccore;
def process(self):
pass;
def get_clusters(self):
annoviko /
pyclustering
