Which of the following is an advantage of clustering?Answer areaHigh interpretability of resultsRequires labeled data for trainingCan discover hidden patterns in data without supervisionSuitable for all types of data

Which of the following is a disadvantage of clustering?Answer areaIt can handle only numerical dataThe results can be highly sensitive to the choice of distance metricIt requires a lot of labeled training dataIt is always computationally expensive

Which of the following is TRUE about clustering?Clustering methods find the similarities between objects according to the object attributes and group the similar objects into clusters.By adding more variables about the customers, the task of finding meaningful groupings in clustering becomes more complex.Clustering analysis can help answer questions about natural groupings of the dataset.All of the Above

Which of the following is TRUE about unsupervised learning?I.  Unsupervised learning refers to the problem of finding hidden structures within unlabeled data.II.  Clustering techniques are unsupervised in the sense that the data scientist does not determine, in advance, the labels to apply to the clusters.II only neither I nor IIboth I and III only

Which of the following is NOT a clustering algorithm, commonly used in Unsupervised Learning?a.Random Forestb.DBSCANc.K-Meansd.Hierarchical Clustering

Question 4Which of the following is NOT an attribute of Unsupervised Learning?1 pointThe algorithm ingests unlabeled data, draws inferences, and finds patterns from unstructured dataIt is useful for clustering data, where data is grouped according to how similar it is to its neighbors and dissimilar to everything elseTakes data and rules as input and uses these inputs to develop an algorithm that will give us an answerIt is useful for finding hidden patterns and or groupings in data and can be used to differentiate normal behavior with outliers such as fraudulent activity