True or false: Advanced dimensionality reduction techniques can be both linear and non-linear.FalseTrue

True or False: The silhouette score can be used to compare different dimensionality reduction techniques.Review LaterTrueFalse

Which dimensionality reduction technique is affected by the curse of dimensionality?Review LaterPrincipal Component Analysis (PCA)UMAPt-SNENone of the above

Q.No 8. Linear discriminants are used for:a) Regression tasks predicting continuous valuesb) Classification tasks separating different classesc) Dimensionality reduction techniques for data visualizationd) Clustering algorithms group similar data points

Which of the following is an example of a dimensionality reduction technique?Question 6Answera.Support vector machine (SVM)b.Principal component analysis (PCA)c.AdaBoostd.K-nearest neighbors (KNN)

Based on the five major approaches in data analysis, which of the following are incorrect?1) Dimensionality reduction: to reduce the number of attributes in a dataset to improve the accuracy of the model2) Comparison: to evaluate and compare values between two or more data points3) Hypothesis: to make assumptions about the results, and then verify whether the results are true or not4) Splitting: to trim down a process from large to small, it usually divides the problem into two partsQuestion 12Select one:a.2,3b.1,3c.2,4d.1,4