All Categories
Alerts
Wishlist
Cart
Sign In
Categories
Current Affairs & GK
Current Affairs
Show All Current Affairs & GK
General Aptitude
Arithmetic Aptitude
Data Interpretation
Show All General Aptitude
General Knowledge
Basic General Knowledge
General Science
Show All General Knowledge
Medical Science
Anatomy
Biochemical Engineering
Biochemistry
Biotechnology
Microbiology
Show All Medical Science
Technical
Database
Digital Electronics
Electronics
Networking
Show All Technical
Verbal and Reasoning
Logical Reasoning
Verbal Ability
Verbal Reasoning
Show All Verbal and Reasoning
›
What is the main advantage of hierarchical clustering over K-means?
What is the main advantage of hierarchical clustering over K-means?
Expand All
Collapse All
Practice Questions
1 question
Q1
What is the main advantage of hierarchical clustering over K-means?
It does not require the number of clusters to be specified in advance
It is faster and more efficient
It can handle larger datasets
It is less sensitive to outliers
Show Solution
Copy
Hierarchical clustering does not require the number of clusters to be predetermined, allowing for more flexibility in analysis.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the main advantage of hierarchical clustering over K-means?
Solution:
Hierarchical clustering does not require the number of clusters to be predetermined, allowing for more flexibility in analysis.
Steps: 5
Show Steps
Step 1: Understand that clustering is a way to group similar items together.
Step 2: Know that K-means is a method where you have to decide how many groups (clusters) you want before starting.
Step 3: Realize that hierarchical clustering does not need you to decide the number of groups in advance.
Step 4: Recognize that this flexibility allows you to explore different groupings without being limited to a fixed number.
Step 5: Conclude that the main advantage of hierarchical clustering is its ability to adapt to different numbers of clusters based on the data.
Related Questions
W
What is a key characteristic of DBSCAN compared to K-means?
Question: What is a key characteristic of DBSCAN compared to K-means?Options: It requires the number..
I
In which scenario would you use reinforcement learning?
Question: In which scenario would you use reinforcement learning?Options: When you have labeled data..
W
Which of the following scenarios is K-means clustering NOT suitable for?
Question: Which of the following scenarios is K-means clustering NOT suitable for?Options: When clus..
W
What is the main function of an activation function in a neural network?
Question: What is the main function of an activation function in a neural network?Options: To initia..
I
In hierarchical clustering, what is the result of a dendrogram?
Question: In hierarchical clustering, what is the result of a dendrogram?Options: A visual represent..
‹
Biology (School & UG)
Chemistry (School & UG)
Civil Engineering
Commerce & Accountancy
Computer Science & IT
Current Affairs & GK
Data Structures & Algorithms
Electrical & Electronics Engineering
English (School)
General Aptitude
General Knowledge
General Knowledge & Current Affairs
Languages & Literature
Law & Legal Studies
Major Competitive Exams
Mathematics (School)
Mechanical Engineering
Medical Science
Physics (School & Undergraduate)
Quantitative Aptitude & Reasoning
Social Science (School)
Technical
Verbal and Reasoning
Vocational & Skill Development
›
Soulshift Feedback
×
On a scale of 0–10, how likely are you to recommend
The Soulshift Academy
?
0
1
2
3
4
5
6
7
8
9
10
Not likely
Very likely
✕
↑
