[Kmeans] k-means clustering case demonstration

Principle of Kmeans clustering method: 1. Firstly, K clustering centers are randomly determined; 2. Calculate the distance (Euclidean distance) from each point in the data to the K cluster centers, and classify the point into which cluster which is the smallest; 3. Calculate the center points of all points in each cluster (the corresponding ele ...

Posted on Sat, 09 Oct 2021 15:29:58 -0400 by sitestem

Clustering algorithm KMeans

This article is carried from the Internet and is only used for my learning records. K-means is our most commonly used clustering algorithm based on Euclidean distance. It believes that the closer the distance between two targets, the greater the similarity. 1. Algorithm 1.1. Algorithm steps 1.2. Complexity 2. Advantages and disadva ...

Posted on Sun, 05 Sep 2021 22:28:01 -0400 by anibiswas