Make Predictions from a "SOM" Object

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

# S3 method for SOM
predict(model, data, key, features = NULL, ...)

Arguments

model	R6Class object A 'SOM' object for prediction.
data	DataFrame DataFrame containting the data.
key	character Name of the ID column.
features	character of list of characters, optional Name of feature columns for prediction. If not provided, it defaults to all non-key columns of data.
...	Reserved parameter.

Format

S3 methods

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 weight vector.

Examples

Perform the predict on DataFrame data2 using "SOM" object som:

> data2$Collect()
   TRANS_ID  V000  V001
1         0  0.10  0.20
2         1  0.22  0.25
3         2  0.30  0.40
4         3  0.40  0.50
5         4  0.50  1.00
......
18       17 50.20 48.30
19       18 55.30 50.40
20       19 50.40 56.50

> fitted <- predict(model = som, data = data2)

Output:

> fitted$Collect()
   TRANS_ID CLUSTER_ID     DISTANCE
1         0         15 3.425638e-01
2         1         15 2.396760e-01
3         2         15 7.396834e-02
4         3         15 9.763190e-02
5         4         15 5.609020e-01
......
18       17          1 9.465344e-01
19       18          0 3.931820e+00
20       19          0 3.892501e+00

See also

hanaml.SOM