Analyzing Test Data Using K means Clustering:

In this article, we discuss about an example of K means clustering on sample random data by using open-cv library in python for data science.

We will visualize test data with multiple features using matplot-lib tool.

OUTPUT:

Now we will apply k means clustering algorithm to the above illustration and see how it behaves.

We should follow the below mentioned steps:

1. First, we will set a test data.
2. Then we will define the criteria and apply k means().
3. Then we will separate the data.
4. In the final stage, we will plot the data.

OUTPUT:

Applications:

1. While identification of cancerous data.
2. While the prediction of a student’s academic performance.
3. The prediction of drug activity.

So, to learn more about it in python for data science, you can check this and this as well.