hai_kmeans_obj: K-Means Object

In healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR'

K-Means Object

Description

Takes the output of the hai_kmeans_user_item_tbl() function and applies the k-means algorithm to it using stats::kmeans()

Usage

hai_kmeans_obj(.data, .centers = 5)

kmeans_obj(.data, .centers = 5)

Arguments

.data	The data that gets passed from hai_kmeans_user_item_tbl()
.centers	How many initial centers to start with

Details

Uses the stats::kmeans() function and creates a wrapper around it.

Value

A stats k-means object

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Kmeans: hai_kmeans_automl_predict(), hai_kmeans_automl(), hai_kmeans_mapped_tbl(), hai_kmeans_scree_data_tbl(), hai_kmeans_scree_plt(), hai_kmeans_tidy_tbl(), hai_kmeans_user_item_tbl()

Examples

library(healthyR.data)
library(dplyr)

data_tbl <- healthyR_data %>%
  filter(ip_op_flag == "I") %>%
  filter(payer_grouping != "Medicare B") %>%
  filter(payer_grouping != "?") %>%
  select(service_line, payer_grouping) %>%
  mutate(record = 1) %>%
  as_tibble()

hai_kmeans_user_item_tbl(
  .data = data_tbl,
  .row_input = service_line,
  .col_input = payer_grouping,
  .record_input = record
) %>%
  hai_kmeans_obj()

healthyR.ai documentation built on April 3, 2023, 5:24 p.m.