Assignment#6_BD107_Chika_Febriyani_2681494486

PERTANYAAN:

  1. Describe the steps of the k-Means clustering algorithm. What does the ‘k’ represent?
  2. Why is dimensionality reduction useful in machine learning?
  3. Provide a real-world application for clustering (e.g., customer segmentation).
  4. What is the main objective of PCA?

STATUS: 100% Sudah Tercapai
KETERANGAN: Saya sudah mengerjakan tugas ini dengan baik dan benar

JAWABAN: disini

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