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K means clustering visualiser

Project Type

Programming, Quantitative Methods, Data analysis

Date

Coming soon........

I plan to implement a K-Means Clustering Visualiser, designed to provide an interactive way to explore how unsupervised learning groups data into clusters. The goal was to visualise data separation, test different cluster numbers (K values), and observe how centroids move over iterations.

Location

London, England

Phone

07538 464 213

Email

Connect

  • GitHub
  • LinkedIn
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