Which function in scikit-learn is used to perform K-Means clustering?Answer areaK Means Cluster ()K Means ()K Means Clustering ()Cluster K Means ()

The function used to perform K-Means clustering in scikit-learn is KMeans(). Here is a step-by-step guide on how to use it:

1. Import the necessary libraries:

from sklearn.cluster import KMeans

2. Initialize the KMeans algorithm. You need to specify the number of clusters (n_clusters) you want to divide your data into:

kmeans = KMeans(n_clusters=3)

3. Fit the model to your data. This is where the actual clustering happens:

kmeans.fit(X)

Here, X is your data.

4. After fitting, you can get the cluster centers:

kmeans.cluster_centers_

5. You can also get the labels for each data point, which represents the cluster to which each data point belongs:

kmeans.labels_