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
Question
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
Solution
The disadvantage of clustering among the options provided is: "The results can be highly sensitive to the choice of distance metric".
This is because the choice of distance metric can significantly influence the shape of the clusters. For example, Euclidean distance tends to form spherical clusters, while Manhattan distance can form
Similar Questions
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
What is a disadvantage of K-Means clustering?Answer areaIt is easy to implementIt always converges to the global optimumIt is sensitive to the initial placement of centroidsIt works well with all shapes of clusters
What is a disadvantage of density-based clustering methods like DBSCAN?Answer areaIt is sensitive to the number of clustersIt cannot handle noise in the dataIt requires specifying density parameters like epsilon and minimum pointsIt assumes clusters are convex
What is an advantage of hierarchical clustering over K-Means?Answer areaIt is less computationally expensiveIt does not require specifying the number of clusters in advanceIt always finds the global optimumIt works better with large datasets
What are the advantages and disadvantages of cluster sampling?
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