myKMeansPackage

Overview

myKMeansPackage is an R package for performing K-means clustering with interactive visualization. It provides functions for clustering data and visualizing the results, along with a Shiny app for interactive exploration.

Installation

# Install devtools if not installed
install.packages("devtools")

# Install the package from GitHub
devtools::install_github("YOUR_USERNAME/myKMeansPackage")

Usage

Basic Clustering

library(myKMeansPackage)

# Generate random data
set.seed(123)
data <- matrix(rnorm(200), ncol = 2)

# Perform clustering
result <- kmeans_cluster(data, centers = 3)

# Plot the results
kmeans_plot(data, result)

Using the Shiny App

# Run the interactive Shiny app
shiny::runApp(system.file("shiny_app", package = "myKMeansPackage"))

Features

• kmeans_cluster(): Performs K-means clustering on numeric data
• kmeans_plot(): Visualizes clustering results with customizable options
• Interactive Shiny app with multiple data generation options and visualization controls

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.