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Hierarchical Clustering Interview Questions & Answers
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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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