Clustering

Which of the following is NOT a commonly used clustering algorithm?

• • K-Means

• • Decision Trees

• • DBSCAN

• • Hierarchical Clustering

Which distance metric is commonly used in hierarchical clustering?

• Euclidean distance

• Manhattan distance

• Cosine similarity

• Hamming distance

In K-Means clustering, what does K represent?

• The number of data points in the dataset

• The number of features in the dataset

• The number of clusters

• The number of iterations for convergence

Which clustering algorithm is sensitive to the initiatialization of cluster centroids?

Agglomerative clustering works just the opposite of

Clusters are visually represented in a hierarchical tree

Clustering comes under

• Supervised Learning

• Unsupervised Learning

What is the computational complexity of K-Means clustering?

• • O(n log n)

• • O(n)

• • O(n^2)

• • O(nk)

Distribution-based Clustering using this method of distribution

The clustering approach assumes data is composed of distributions, such as _____distribution.