reduce_first_component: Reduce selected variables to first principal component

In partition: Agglomerative Partitioning Framework for Dimension Reduction

Reduce selected variables to first principal component

Description

Reducers are functions that tell the partition algorithm how to reduce the data. as_reducer() is a helper function to create new reducers to be used in partitioners. partitioners can be created with as_partitioner().

reduce_first_component() returns the first component from the principal components analysis of the target variables. Because the PCA calculates the components and the variance explained at the same time, if the metric is measure_variance_explained(), that function will store the first component for use in reduce_first_component() to avoid recalculation. If the partitioner uses a different metric, the first component will be calculated by reduce_first_component().

Usage

reduce_first_component(.partition_step)

Arguments

.partition_step

a partition_step object

Value

a partition_step object

See Also

Other reducers: as_reducer(), reduce_kmeans(), reduce_scaled_mean()

partition documentation built on Oct. 9, 2024, 5:10 p.m.