Hierarchical clustering

What are the two types of Hierarchical Clustering?

• Top-Down Clustering (Divisive)

• Dendrogram

• Bottom-Top Clustering (Agglomerative)

• K-means

What is a Dendrogram?

• A tree diagram used to illustrate the arrangement of clusters in hierarchical clustering.

• A type of hierarchical clustering.

• A type of bar chart diagram to visualize k-means clusters.

• A tree diagram used to illustrate the arrangement of clusters in partitional clustering.

_____ is a clustering procedure where all objects start out in one giant cluster. Clusters are formed by dividing this cluster into smaller and smaller clusters.

• Non-hierarchical clustering

• Divisive clustering

• Agglomerative clustering

• K-means clustering

Q. In the figure above, if you draw a horizontal line on y-axis for y=2. What will be the number of clusters formed?

• 2

• 3

• 4

• 5

Which of the following statements are true?

• When clustering, we want to put two dissimilar data objects into the same cluster.

• Clustering analysis in unsupervised learning since it does not require labeled training data.

• Clustering analysis has a wide range of applications in tasks such as data summarization, dynamic trend detection, multimedia analysis, and biological network analysis.

• We need to consider how to incorporate user preference for cluster size and shape into the clustering algorithm.

• We must know the number of output clusters a priori for all clustering algorithms