def _mergeCluster(self, cluster, clusters):
"""
Merge cluster if it is close enough to a cluster in the list and return
True. Otherwise, don't merge the cluster and return False.
:param cluster: (Cluster) cluster to merge w/ one of the existing clusters.
:param clusters: (list of Clusters) list of clusters to compare the first
cluster to.
:return: (bool) Wether or not the cluster was merged.
"""
clusterDistPairs = computeClusterDistances(cluster,
clusters,
self._numCells)
clusterMerged = False
if len(clusterDistPairs) > 0:
for clusterDistPair in clusterDistPairs:
closestClusterDist, closestCluster = clusterDistPair
if closestClusterDist < self._mergeThreshold:
_LOGGER.debug("MERGE: Cluster %s merged with cluster %s. "
"Inter-cluster distance: %s" % (cluster.getId(),
closestCluster.getId(),
closestClusterDist))
closestCluster.merge(cluster, self._numIterations)
self._removeCluster(cluster)
clusterMerged = True
return clusterMerged
def _mergeCluster(self, cluster, clusters):
"""
Merge cluster if it is close enough to a cluster in the list and return
True. Otherwise, don't merge the cluster and return False.
:param cluster: (Cluster) cluster to merge w/ one of the existing clusters.
:param clusters: (list of Clusters) list of clusters to compare the first
cluster to.
:return: (bool) Wether or not the cluster was merged.
"""
clusterDistPairs = computeClusterDistances(cluster, clusters,
self._numCells)
clusterMerged = False
if len(clusterDistPairs) > 0:
for clusterDistPair in clusterDistPairs:
closestClusterDist, closestCluster = clusterDistPair
if closestClusterDist < self._mergeThreshold:
_LOGGER.debug("MERGE: Cluster %s merged with cluster %s. "
"Inter-cluster distance: %s" %
(cluster.getId(), closestCluster.getId(),
closestClusterDist))
closestCluster.merge(cluster, self._numIterations)
self._removeCluster(cluster)
clusterMerged = True
return clusterMerged
def _mergeNewCluster(self):
clusterDistPairs = computeClusterDistances(self._newCluster,
self.getClusters(),
self._numCells)
clusterMerged = False
if len(clusterDistPairs) > 0:
closestClusterDist, closestCluster = clusterDistPairs[0]
if closestClusterDist < self._mergeThreshold:
_LOGGER.debug("MERGE: Cluster %s merged with cluster %s. "
"Inter-cluster distance: %s" %
(self._newCluster.getId(),
closestCluster.getId(), closestClusterDist))
updateTime = self._numIterations
closestCluster.merge(self._newCluster, updateTime)
clusterMerged = True
return clusterMerged
def _mergeNewCluster(self):
clusterDistPairs = computeClusterDistances(self._newCluster,
self.getClusters(),
self._numCells)
clusterMerged = False
if len(clusterDistPairs) > 0:
closestClusterDist, closestCluster = clusterDistPairs[0]
if closestClusterDist < self._mergeThreshold:
_LOGGER.debug("MERGE: Cluster %s merged with cluster %s. "
"Inter-cluster distance: %s"
% (self._newCluster.getId(),
closestCluster.getId(),
closestClusterDist))
updateTime = self._numIterations
closestCluster.merge(self._newCluster, updateTime)
clusterMerged = True
return clusterMerged
def infer(self):
"""
Inference: find the closest cluster to the new cluster.
"""
clusterDistPairs = computeClusterDistances(self._newCluster,
self.getClusters(),
self._numCells)
if len(clusterDistPairs) > 0:
distToCluster, predictedCluster = clusterDistPairs[0]
# Confidence of inference
meanClusterDist = np.mean([p[0] for p in clusterDistPairs])
if meanClusterDist > 0:
confidence = 1 - (distToCluster / meanClusterDist)
else:
confidence = 1
else:
predictedCluster = None
confidence = -1
return predictedCluster, confidence
def infer(self):
"""
Inference: find the closest cluster to the new cluster.
"""
clusterDistPairs = computeClusterDistances(self._newCluster,
self.getClusters(),
self._numCells)
if len(clusterDistPairs) > 0:
distToCluster, predictedCluster = clusterDistPairs[0]
# Confidence of inference
meanClusterDist = np.mean([p[0] for p in clusterDistPairs])
if meanClusterDist > 0:
confidence = 1 - (distToCluster / meanClusterDist)
else:
confidence = 1
else:
predictedCluster = None
confidence = -1
return predictedCluster, confidence
