K-means clustering matlab

1. How to create clusters in MATLAB?
2. What is example of k-means clustering?
3. What is k-means clustering and how it works?

How to create clusters in MATLAB?

To start any cloud resources, click the Cloud Resources tab. Next to MATLAB^® Parallel Server™, click Create. On the Create Cluster page, specify your cluster options. Specify a cluster name and click Create Cluster to try a default cluster.

What is example of k-means clustering?

Use K means clustering to generate groups comprised of observations with similar characteristics. For example, if you have customer data, you might want to create sets of similar customers and then target each group with different types of marketing. K means clustering is a popular machine learning algorithm.

What is k-means clustering and how it works?

It is an iterative process of assigning each data point to the groups and slowly data points get clustered based on similar features. The objective is to minimize the sum of distances between the data points and the cluster centroid, to identify the correct group each data point should belong to.