R: Make Predictions from a "DBSCAN" Object

predict.DBSCAN {hana.ml.r}

R Documentation

Make Predictions from a "DBSCAN" Object

Description

Similar to other predict methods, this function predicts fitted values from a fitted "DBSCAN" object.

Usage

## S3 method for class 'DBSCAN'
predict(model, data, key, features = NULL, ...)

Arguments

`model`	`R6Class object` A DBSCAN object for prediction.
`data`	`DataFrame` data for prediction.
`key`	`character` Name of the ID column..
`features`	`character or list of characters, optional` Names of the feature columns. If is not provided, it defaults to all non-ID columns.

Value

Predicted values are returned as a DataFrame, structured as follows.

ID column, with same name and type as data's ID column.
Cluster_ID, type INTEGER, the assigned cluster ID.
DISTANCE, type DOUBLE, Distance between a given point and the nearest core object .

Examples

## Not run: 
#'Perform the predict on DataFrame data2 using "DBSCAN" object dbscan:

> data2$Collect()
      ID  V000 V001  V002
   1   1  0.10  0.10  B
   2   2  0.11  0.10  A
   3   3  0.10  0.11  C
   4   4  0.11  0.11  B
   5   5  0.12  0.11  A
    ...
   28 28 16.11 16.11  A
   29 29 20.11 20.12  C
   30 30 15.12 15.11  A
> fitted <- predict(model = dbscan, data = data2)
> fitted$Collect()
      ID   CLUSTER_ID  DISTANCE
  1   1          0    0.000
  2   2          0    0.000
  3   3          0    0.000
  4   4          0    0.000
  5   5          0    0.000
  ...
  28 28         -1   11.950
  29 29         -1   21.374
  30 30         -1    9.960

## End(Not run)