Which function in scikit-learn is used to perform K-Means clustering?Answer areaK Means Cluster ()K Means ()K Means Clustering ()Cluster K Means ()
Question
Which function in scikit-learn is used to perform K-Means clustering?Answer areaK Means Cluster ()K Means ()K Means Clustering ()Cluster K Means ()
Solution
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:
- Import the necessary libraries:
from sklearn.cluster import KMeans
- 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)
- Fit the model to your data. This is where the actual clustering happens:
kmeans.fit(X)
Here, X is your data.
- After fitting, you can get the cluster centers:
kmeans.cluster_centers_
- You can also get the labels for each data point, which represents the cluster to which each data point belongs:
kmeans.labels_
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