kmeans聚类算法matlab代码有csv

To perform K-means clustering on a CSV file in MATLAB, you need to read the data from the CSV file and then apply the K-means algorithm. Here's an example:

% Read the data from the CSV file
data = csvread('data.csv');

% Set the number of clusters
K = 3;

% Run the K-means algorithm
[idx, C] = kmeans(data, K);

% Write the cluster assignments to a new CSV file
csvwrite('cluster_assignments.csv', idx);

% Write the centroids to a new CSV file
csvwrite('centroids.csv', C);

In this code, you should replace `'data.csv'` with the path to your actual CSV file. After running the code, it will write two new CSV files: `'cluster_assignments.csv'` containing the cluster assignments for each data point, and `'centroids.csv'` containing the coordinates of the centroids.