README.md

In FrederikGantzel/FrederikClusteringAlgorithms: Frederik Clustering Algorithms

FrederikClusteringAlgorithms

Clustering algorithms for CS599 "Unsupervised Learning" R package project 1, NAU, Fall semester 2021

Installation

run the following R commands: if(!requireNamespace("remotes"))install.packages("remotes") remotes::install_github("FrederikGantzel/FrederikClusteringAlgorithms")

Usage

Provides three functions to analyze data.

Frederik_hclust is a Hierarchical clustering algorithm that takes a numeric data matrix as input, and outputs a vector showing clusterings for all observations in the input data matrix. Some example code:

data_set = as.matrix(iris[, -5])

Frederik_hclust(data_set, 3)

euclidDist is a function that takes two vectors as input, and calculates the euclidean distance between the two. Some example code:

euclidDist(c(1,2,3), c(4,5,6))

Frederik_AVT is a function that takes two vectors as input and adds them together. The two vectors must have the same length. Some example code:

first_vector= c(1.5,2.5,3.5)

second_vector = c(4.5, 5.5, 6.5)

Frederik_ATV(first_vector, second_vector)

FrederikGantzel/FrederikClusteringAlgorithms documentation built on June 14, 2022, 11:42 p.m.