Which of the following is NOT a clustering algorithm in Weka?K-meansDBSCANEMLinear Regression

1. Identify the Algorithms

To determine which option is NOT a clustering algorithm in Weka, let's first identify the classification of each provided option:

1. K-means: A popular clustering algorithm that partitions data into K distinct clusters.

2. DBSCAN: A density-based clustering algorithm that groups together data points that are close to each other based on a distance measurement.

3. EM (Expectation-Maximization): An algorithm that can be used for clustering, particularly with Gaussian mixture models.

4. Linear Regression: A statistical method used for predicting a dependent variable based on one or more independent variables. It is not a clustering method.

2. Conclusion

From the above identifications, we can conclude:

• K-means, DBSCAN, and EM are all clustering algorithms found in Weka.
• Linear Regression is a predictive modeling technique and does not fall under clustering algorithms.

Final Answer

The option that is NOT a clustering algorithm in Weka is Linear Regression.