https://github.com/faraazarsath/k-means-clustering

K-means clustering Algorithm : It is an example for Unsupervised machine learning algorithm. Here we find hidden patterns in the dataset.
https://github.com/faraazarsath/k-means-clustering

kmeans-algorithm kmeans-clustering

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K-means clustering Algorithm : It is an example for Unsupervised machine learning algorithm. Here we find hidden patterns in the dataset.

• Host: GitHub
• URL: https://github.com/faraazarsath/k-means-clustering
• Owner: FaraazArsath
• Created: 2022-10-31T02:54:03.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-31T03:01:14.000Z (about 3 years ago)
• Last Synced: 2025-01-09T10:06:21.916Z (11 months ago)
• Topics: kmeans-algorithm, kmeans-clustering
• Language: Jupyter Notebook
• Homepage:
• Size: 1.04 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# K-Means Clustering

Old Faithful Geyser Data

Description:

     Waiting time between eruptions and the duration of the eruption

     for the Old Faithful geyser in Yellowstone National Park, Wyoming,

     USA.

     A data frame with 272 observations on 2 variables.

eruptions  numeric  Eruption time in mins

waiting    numeric  Waiting time to next eruption

References:

     Hardle, W. (1991) Smoothing Techniques with Implementation in S.

     New York: Springer.

     Azzalini, A. and Bowman, A. W. (1990). A look at some data on the

     Old Faithful geyser. Applied Statistics 39, 357-365.