Clustering and Association Rules Quiz

Clustering is primarily used for:

• Supervised Learning

• Unsupervised Learning *

• Reinforcement Learning

• Semi-supervised Learning

Which of the following is a Partitional Clustering algorithm?

• Agglomerative Clustering

• K-Means *

• DBSCAN

• Hierarchical Clustering

In clustering, outliers are:

• Data points that are closest to cluster centroids

• Data points that do not belong to any cluster *

• Centroids of clusters

• Points that define cluster boundaries

Which distance measure is most commonly used in K-Means clustering?

• Manhattan Distance

• Hamming Distance

• Euclidean Distance *

• Cosine Similarity

Which of the following is a Hierarchical Clustering method?

• K-Means

• Agglomerative Clustering *

• DBSCAN

• Naive Bayes

In Hierarchical Clustering, a Dendrogram is used to:

• Visualize the hierarchy of clusters *

• Calculate distance between data points

• Initialize cluster centroids

• Measure outliers

Which clustering algorithm is best suited for discovering clusters of arbitrary shapes?

• K-Means

• DBSCAN *

• Agglomerative Clustering

• Naive Bayes

Which similarity measure is most suitable for text data?

• Euclidean Distance

• Cosine Similarity *

• Manhattan Distance

• Mahalanobis Distance

Which algorithm uses the concept of density to identify clusters?

• K-Means

• DBSCAN *

• Hierarchical Clustering

• K-Nearest Neighbors

Which of the following is a partitional clustering method?

• Divisive Hierarchical Clustering

• K-Medoids *

• Agglomerative Clustering

• Dendrogram Analysis