Inspiration
Machine learning has a great potential to solve pressing problems
What it does
given data, the website takes the data and applies the k-means clustering algorithm to separate the data points into different loops based on the value of k input by the user
How we built it
Coded the algorithm in JS, built an HTML website, then integrated the code within the website
Challenges we ran into
Bugs in HTML, specifically with inputting numbers into the algorithm
Accomplishments that we're proud of
Finishing the website
What we learned
general process of front end and back end web design. syntax of html, JS syntax.
What's next for K-Means clustering visualization website
optimization changes, quality of life changes
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