DSC_Static: Create as Static Copy of a Clustering

In stream: Infrastructure for Data Stream Mining

Create as Static Copy of a Clustering

Description

This representation cannot perform clustering anymore, but it also does not need the supporting data structures. It only stores the cluster centers and weights.

Usage

DSC_Static(
  x,
  type = c("auto", "micro", "macro"),
  k_largest = NULL,
  min_weight = NULL
)

Arguments

x	The clustering (a DSD object) to copy or a list with components centers (a data frame or matrix) and weights (a vector with cluster weights).
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 min_weight.

Value

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.

Author(s)

Michael Hahsler

See Also

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()

Examples

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)

stream documentation built on March 7, 2023, 6:09 p.m.