Assignment Data Points to Clusters
Get the assignment of data points to clusters in a
get_assignment(dsc, points, type=c("auto", "micro", "macro"), method="auto", ...)
- The DSC object with the clusters for assignment.
- The points to be assigned as a data.frame.
- Use micro- or macro-clusters in DSC for assignment. Auto used the class of dsc to decide.
- assignment method
"model"uses the assignment model of the underlying algorithm (unassigned points return
"nn"performs nearest neighbor assignment using Euclidean distance.
"auto"uses model if it is avaialble and defaults to nn otherwise.
- Additional arguments are passed on.
Each data point is assigned either using the original model's assignment rule or Euclidean nearest neighbor assignment.
A vector containing the assignment of each point.
NAmeans that a data point was not assigned to a cluster.
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")
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