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?

(a)  

Agglomerative clustering works just the opposite of

(a)  

Clusters are visually represented in a hierarchical tree

(a)  

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

(a)  

The clustering approach assumes data is composed of distributions, such as (a)   distribution.