cleanTrainingSample: Use k-means clustering to separate waste from seeds using a...

In AleMorales/SeedSorter: Supervised classification of seeds from flow cytometry

Description

Use k-means clustering to separate waste from seeds using a size threshold as initial guess

Usage

cleanTrainingSample(data, guess = 200)

Arguments

data	Tibble with the data for classification, as returned by the function getData().
guess	Initial guess for the thresold that separates seeds from dust particles in micrometers (default: 200).

Value

The same as data but some of the particles are now reclassified as non-seed waste material.

AleMorales/SeedSorter documentation built on Feb. 12, 2020, 4:13 a.m.