K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As the name suggests, K-Means is an algorithm for clustering data points by means of mean. K-Means algorithm divides the similar data points by the preset K value and the initial centroid of each category. The optimal clustering results are obtained by means of the mean iterative optimization after division.

• 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．