stream (version 1.5-1)

get_assignment: Assignment Data Points to Clusters

Description

Get the assignment of data points to clusters in a DSC using the model's assignment rules or nearest neighbor assignemnt. The clustering is not modified.

Usage

get_assignment(
  dsc,
  points,
  type = c("auto", "micro", "macro"),
  method = "auto",
  ...
)

Value

A vector containing the assignment of each point. NA means that a data point was not assigned to a cluster.

Arguments

dsc

The DSC object with the clusters for assignment.

points

The points to be assigned as a data.frame.

type

Use micro- or macro-clusters in DSC for assignment. Auto used the class of dsc to decide.

method

assignment method

• "model" uses the assignment method of the underlying algorithm (unassigned points return NA). Not all algorithms implement this option.

• "nn" performs nearest neighbor assignment using Euclidean distance.

• "auto" uses the model assignment method. If this method is not implemented/available then nn assignment is used instead.

...

Additional arguments are passed on.

Author

Michael Hahsler

Details

Each data point is assigned either using the original model's assignment rule or Euclidean nearest neighbor assignment. If the user specifies the model's assignment strategy, but is not available, then nearest neighbor assignment is used and a warning is produced.

See Also

DSC

Examples

stream <- DSD_Gaussians(k = 3, d = 2, noise = .05)

dbstream <- DSC_DBSTREAM(r = .1)
update(dbstream, stream, n = 100)

# find the assignment for the next 100 points to
# micro-clusters in dsc. This uses the model's assignemnt function
points <- get_points(stream, n = 100)
a <- get_assignment(dbstream, points)
a

# show the MC assignment areas. Assigned points as blue circles and
# the unassigned points as red dots
plot(dbstream, stream, assignment = TRUE, type = "none")
points(points[!is.na(a),], col = "blue")
points(points[is.na(a),], col = "red", pch = 20)

# use nearest neighbor assignment instead
get_assignment(dbstream, points, method = "nn")