DSC_Static | R Documentation |
This representation cannot perform clustering anymore, but it also does not need the supporting data structures. It only stores the cluster centers and weights.
DSC_Static( x, type = c("auto", "micro", "macro"), k_largest = NULL, min_weight = NULL )
x |
The clustering (a DSD object) to copy or a list with components |
type |
which clustering to copy. |
k_largest |
only copy the k largest (highest weight) clusters. |
min_weight |
only copy clusters with a weight larger or equal to
|
An object of class DSC_Static
(sub class of DSC,
DSC_R). The list also contains either DSC_Micro or
DSC_Macro depending on what type of clustering was copied.
Michael Hahsler
Other DSC:
DSC_Macro()
,
DSC_Micro()
,
DSC_R()
,
DSC_SlidingWindow()
,
DSC_TwoStage()
,
DSC()
,
animate_cluster()
,
evaluate.DSC
,
get_assignment()
,
plot.DSC()
,
predict()
,
prune_clusters()
,
read_saveDSC
,
recluster()
stream <- DSD_Gaussians(k = 3, d = 2, noise = 0.05) dstream <- DSC_DStream(gridsize = 0.05) update(dstream, stream, 500) dstream plot(dstream, stream) # create a static copy of the clustering static <- DSC_Static(dstream) static plot(static, stream) # copy only the 5 largest clusters static2 <- DSC_Static(dstream, k_largest = 5) static2 plot(static2, stream) # copy all clusters with a weight of at least .3 static3 <- DSC_Static(dstream, min_weight = .3) static3 plot(static3, stream) # create a manual clustering static4 <- DSC_Static(list( centers = data.frame(X1 = c(1, 2), X2 = c(1, 2)), weights = c(1, 2)), type = "macro") static4 plot(static4)
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