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Jinho D. Choi edited this page Apr 13, 2015 · 1 revision

K-means Clustering

  • Download clustering.zip.
  • Create a class KmeanLastname (e.g., KmeansChoi).
  • Extend AbstractKmeans.
  • Override the distance method by implementing cosine distance (not similarity).
  • Run your code using DocumentClustering.
  • Submit your source code and a report describing your observation about the clusters.

Artificial Intelligence

Instructor


Emory University

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