The goal of the algorithm is to partition a given dataset into a user-specified number of clusters, k, and obtain the similarity between samples of the same cluster rather than the different clusters

k-means_old-faithful-master
k-means_old-faithful-master\KMeans_script.m
k-means_old-faithful-master\README.md
k-means_old-faithful-master\calcSqDistances.m
k-means_old-faithful-master\determineRnk.m
k-means_old-faithful-master\plotCurrent.m
k-means_old-faithful-master\recalcMus.m
k-means_old-faithful-master\runKMeans.m
k-means_old-faithful-master\scaledfaithful.txt

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．