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CS 1110 Fall 2024

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Machine Learning is a major computer science topic these days. And while it can seem really powerful, it is often just the application of statistics to large amounts of data. As computers become both ubiquitous and more powerful, many applications — from science to business to entertainment — are generating huge amounts of data. In this assignment you will work with one of the most popular (though not necessarily most efficient) tools for analyzing large amounts of data: k-means clustering. In k-means clustering, you organize the data into a small number (k) of clusters of similar values. For example, in the picture to the right, there are a lot of points in 3-dimensional space. These points are color-coded into five clusters, with all the points in a cluster being near to one another. If you look at the wikipedia entry for k-means clustering, you can see that it has many, many applications. It has been used in market analysis, recommender systems (e.g. how Netflix recommends new movie

Machine Learning is a major computer science topic these days. And while it can seem really powerful, it is often just the application of statistics to large amounts of data. As computers become both ubiquitous and more powerful, many applications — from science to business to entertainment — are generating huge amounts of data. In this assignment you will work with one of the most popular (though not necessarily most efficient) tools for analyzing large amounts of data: k-means clustering . In k-means clustering, you organize the data into a small number (k) of clusters of similar values. For

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