plot_kmeans: Visualize a KMeans Cluster with lots of data

Description Usage Arguments Details Examples

View source: R/kmeans-viz.R

Description

It uses 'ggplot2' to display the results of a KMeans routine. Instead of a scatterplot, it uses a square grid that displays the concentration of intersections per square. The number of squares in the grid can be customized for more or less fine grain.

Usage

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plot_kmeans(df, x, y, resolution = 50, group = center)

db_calculate_squares(df, x, y, group, resolution = 50)

Arguments

df

A Local or remote data frame with results of KMeans clustering

x

A numeric variable for the x axis

y

A numeric variable for the y axis

resolution

The number of squares in the grid. Defaults to 50. Meaning a 50 x 50 grid.

group

A discrete variable containing the grouping for the KMeans. It defaults to 'center'

Details

For large result-sets in remote sources, downloading every intersection will be a long running, costly operation. The approach of this function is to devide the x and y plane in a grid and have the remote source figure the total number of intersections, returned as a single number. This reduces the granularity of the visualization, but it speeds up the results.

Examples

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plot_kmeans(mtcars, mpg, wt, group = am)

edgararuiz/modeldb documentation built on July 23, 2019, 8:14 a.m.