Data structure

What is the primary goal of clustering?

• To predict a target variable
• To find hidden patterns in data
• To group data into similar clusters
• To optimize a cost function

Which of the following is NOT a common method for selecting the number of clusters in a dataset?

• The elbow method
• The silhouette method
• The F-measure
• The Akaike information criterion

Which of the following is NOT a disadvantage of the k-means clustering algorithm?

• It can be sensitive to the initial cluster centroids
• It can be slow for large datasets
• It may not produce the best possible clusters
• It requires prior knowledge of the number of clusters

Which of the following is NOT a characteristic of hierarchical clustering?

• It can handle categorical data
• It is sensitive to the order of the input data
• It requires a distance function
• It produces clusters of varying sizes

Which of the following is NOT a common evaluation metric for clustering algorithms?

• The F-measure
• The Rand index
• The Jaccard coefficient
• The mean squared error