plotNovelCells: Plot the identified outlier cells in the voronoi tessellation map.

Description

This is the main plotting function to construct hierarchical voronoi tessellations and highlight the outlier cells

Usage

plotNovelCells(
  plot.cells,
  hvt.map,
  line.width = c(0.6),
  color.vec = c("#141B41"),
  pch = 21,
  centroid.size = 0.5,
  title = NULL,
  maxDepth = 1
)

Value

Returns a ggplot object containing hierarchical voronoi tessellation plot highlighting the outlier cells

Arguments

plot.cells: Vector. A vector indicating the cells to be highlighted in the map
hvt.map: List. A list containing the output of trainHVT function which has the details of the tessellations to be plotted
line.width: Numeric Vector. A vector indicating the line widths of the tessellation boundaries for each level
color.vec: Vector. A vector indicating the colors of the boundaries of the tessellations at each level
pch: Numeric. Symbol of the centroids of the tessellations (parent levels) Default value is 21.
centroid.size: Numeric. Size of centroids of first level tessellations. Default value is 0.5
title: String. Set a title for the plot. (default = NULL)
maxDepth: Numeric. An integer indicating the number of levels. (default = NULL)

Author

Shantanu Vaidya <shantanu.vaidya@mu-sigma.com>

Examples

Run this code

data("EuStockMarkets")
hvt.results <- trainHVT(EuStockMarkets, n_cells = 60, depth = 1, quant.err = 0.1, 
                       distance_metric = "L1_Norm", error_metric = "max",
                       normalize = TRUE,quant_method="kmeans")
#selected 55,58 are for demo purpose
plotNovelCells(c(55,58),hvt.results)