23AD55- DATA MINING LAB EXTERNAL EXAMINATION
23AD55- DATA MINING LAB EXTERNAL EXAMINATION(12-11-2026) ***Use the Python library scikit-learn wherever necessary Q1.a) Implement the K-Means clustering algorithm on an appropriate dataset by considering K = 3 and assign data objects to their respective clusters. b) Write a Python program using Pandas to load a CSV dataset and identify the dependent and independent variables. Q2.a) Implement a Gaussian Naïve Bayes classification algorithm using an appropriate dataset and predict the class labels. b) Generate and visualise a dendrogram to identify the appropriate number of clusters. Q3.a) Write a Python program to calculate Pearson's Correlation and Cosine Similarity between two numerical data objects. b) Evaluate the classification model using a Confusion Matrix and Accuracy Score. Display the Decision Tree. Q4.a) Write a Python program to generate frequent itemsets from market basket data using the Apriori algorithm with a minimum support threshold of 50%. b) Apply Min-Max Norma...