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Hierarchical Clustering Interview Questions & Answers
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Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of AiSPRY and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.
Table of Content
- Group of alike data points is known as
- From the below find the data types on which we can perform clustering
- Agglomerative clustering is an example of____________ .
- Clustering analysis is unsupervised learning since it does not require ______ training data
- A tree diagram used to show the arrangement of clusters in hierarchical clustering is known as_______.
- From the below, select the types of hierarchical clustering
- Visualization of clustering results will be done only when we have two-dimensional data
- We should know the no. of output clusters is a prior for all clustering algorithms.
- ________ is used most frequently to measure similarity
- _______stores the distances between each point.
- Agglomerative Clustering is the ____________.
- Divisive Clustering is the ____________
- From the below find the methods used to measure the similarity
- Hierarchical clustering is also used for __________.
-
Group of alike data points is known as
- a) Clusters
- b) Simple points
- c) Group points
- d) None
Answer - a) Clusters
-
From the below find the data types on which we can perform clustering
- a) Graphs
- b) Time-series data
- c) Multimedia data
- d) All the above
Answer - d) All the above
-
Agglomerative clustering is an example of____________ .
- a) Hierarchical
- b) Distance-based clustering
- c) Both a and b
- d) K means
Answer - c) Both a and b
-
Clustering analysis is unsupervised learning since it does not require ______ training data.
- a) Unlabeled
- b) Labeled
- c) Both
- d) None of the above
Answer - b) Labeled
-
A tree diagram used to show the arrangement of clusters in hierarchical clustering is known as_______.
- a) Bar plot diagram
- b) Histogram
- c) Dendrogram
- d) None
Answer - c) Dendrogram
-
From the below, select the types of hierarchical clustering
- a) Divisive
- b) Agglomerative
- c) K means
- d) Both a and b
Answer - d) Both a and b
-
Visualization of clustering results will be done only when we have two-dimensional data.
- a) True
- b) False
Answer - b) False
-
We should know the no. of output clusters is a prior for all clustering algorithms.
- a) True
- b) False
Answer - b) False
-
________ is used most frequently to measure similarity
- a) Manhattan Distance
- b) Euclidean distance
- c) Far by distance
- d) None of the above
Answer - b) Euclidean distance
-
_______stores the distances between each point.
- a) Proximity matrix
- b) Primary matrix
- c) Minor data matrix
- d) Proximity sensor
Answer - a) Proximity matrix
-
Agglomerative Clustering is the ____________.
- a) Top-down approach
- b) Bottom-up approach
- c) Side to side approach
- d) Center to end approach
Answer - b) Bottom up approach
-
Divisive Clustering is the ____________
- a) Top-down approach
- b) Bottom-up approach
- c) Side to side approach
- d) Center to end approach
Answer - a) Top-down approach
-
From the below find the methods used to measure the similarity
- a) Single linkage
- b) Complete linkage
- c) Average linkage
- d) All the above
Answer - d) All the above
-
Hierarchical clustering is also used for __________.
- a) Finding na
- b) Outlier detection
- c) Fake value detection
- d) All the above
Answer - b) Outlier Detection
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