net
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ml
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spark
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clustering
RDFByModularityClustering
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package clustering
object
RDFByModularityClustering
Created by hpetzka on 09.11.2016.
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final
def
!=
(
arg0:
Any
)
:
Boolean
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final
def
##
()
:
Int
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final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
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def
apply
(
sc:
SparkContext
,
numIterations:
Int
,
graphFile:
String
,
outputFile:
String
)
:
Unit
final
def
asInstanceOf
[
T0
]
:
T0
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def
clone
()
:
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Attributes
protected[
java.lang
]
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@throws
(
...
)
def
deltaQ
(
numEdges:
Long
,
vertexDegreesBC:
Broadcast
[
Map
[
String
,
Int
]]
,
edgesBC:
Broadcast
[
Array
[(
String
,
String
)]]
,
clusterI:
List
[
String
]
,
clusterJ:
List
[
String
]
)
:
Double
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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def
equals
(
arg0:
Any
)
:
Boolean
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def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
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@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
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def
hashCode
()
:
Int
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final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
def
iterationStepClusteringRDFByModularity
(
numEdges:
Long
,
edgesBC:
Broadcast
[
Array
[(
String
,
String
)]]
,
vertexDegreesBC:
Broadcast
[
Map
[
String
,
Int
]]
,
clusterMapRDD:
RDD
[
List
[
String
]]
,
sc:
SparkContext
)
: (
RDD
[
List
[
String
]],
Boolean
)
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
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final
def
notify
()
:
Unit
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final
def
notifyAll
()
:
Unit
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final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
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def
toString
()
:
String
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final
def
wait
()
:
Unit
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@throws
(
...
)
final
def
wait
(
arg0:
Long
,
arg1:
Int
)
:
Unit
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@throws
(
...
)
final
def
wait
(
arg0:
Long
)
:
Unit
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@throws
(
...
)
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Created by hpetzka on 09.11.2016.