DSC_R {stream} | R Documentation |
Abstract Class for Implementing R-based Clusterers
Description
Abstract class for implementing R-based clusterers.
Usage
DSC_R(...)
## S3 method for class 'DSC_R'
update(
object,
dsd,
n = 1L,
verbose = FALSE,
block = 10000L,
return = c("nothing", "assignment", "model"),
...
)
Arguments
... |
further arguments. |
object |
a DSC object. |
dsd |
a data stream object. |
n |
number of data points taken from the stream. |
verbose |
logical; show progress? |
block |
process blocks of data to improve speed. |
return |
a character string indicating what update returns. The default is |
Details
DSC_R cannot be instantiated.
Implementing new Classes
To implement a new clusterer you need to create an S3 class with elements description
and
RObj
. RObj
needs to be a reference class with methods:
-
cluster(newdata, ...)
-
get_microclusters(...)
-
get_microweights(...)
-
get_macroclusters(...)
-
get_macroweights(...)
-
microToMacro(micro, ...)
See DSC for details and parameters.
DSC_R
cannot be instantiated.
Author(s)
Michael Hahsler
See Also
Other DSC:
DSC()
,
DSC_Macro()
,
DSC_Micro()
,
DSC_SlidingWindow()
,
DSC_Static()
,
DSC_TwoStage()
,
animate_cluster()
,
evaluate.DSC
,
get_assignment()
,
plot.DSC()
,
predict()
,
prune_clusters()
,
read_saveDSC
,
recluster()