Mean Shift Clustering Overview Answers 1. What is one advantage of using methods that do not require knowing the number of clusters in advance? A. They adapt to arbitrary shapes and varying densities. B. They simplify the process of cluster initialization. C. They provide exact shapes of clusters. D. They guarantee the detection of all anomalies. Answer: They adapt to arbitrary shapes and varying densities. (A) An advantage of such methods is their ability to adapt to clusters of arbitrary shapes and varying densities. 2. What is a significant disadvantage of using bandwidth-sensitive clustering methods? A. They may struggle with overlapping clusters. B. They can easily visualize clusters. C. They work efficiently with large datasets. D. They require prior knowledge of data density. Answer: They may struggle with overlapping clusters. (A) One major drawback is that these methods can have difficulty with very overlapping or closely-spaced clusters. 3. Which application does not align with the typical use of clustering methods? A. Density estimation of data points. B. Object recognition in images. C. Anomaly detection in datasets. D. Finding exact mathematical patterns in data. Answer: Finding exact mathematical patterns in data. (D) Finding exact mathematical patterns is not a typical application for clustering methods. 4. What evaluation method can be used to assess the quality of clusters formed using bandwidth-sensitive methods? A. Using predetermined rules for cluster size. B. Measuring only the computational time for clustering. C. Comparing against an unrelated algorithm. D. Visual inspection for cluster quality. Answer: Visual inspection for cluster quality. (D) Visual inspection is a common method to evaluate the quality of the resulting clusters. 5. Which of the following statements about bandwidth selection in clustering is FALSE? A. Smaller bandwidth always leads to better cluster accuracy. B. Different methods exist for selecting optimal bandwidth. C. Bandwidth selection can impact sensitivity to noise. D. The choice of bandwidth can affect clustering outcome. Answer: Smaller bandwidth always leads to better cluster accuracy. (A) Choosing a smaller bandwidth does not always guarantee better accuracy; it can lead to overfitting.