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Which of the following is a disadvantage of the K-means algorithm?

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Question: Which of the following is a disadvantage of the K-means algorithm?

Options:

  1. It can handle large datasets efficiently
  2. It requires the number of clusters to be specified in advance
  3. It is sensitive to outliers
  4. It can be used for both supervised and unsupervised learning

Correct Answer: It requires the number of clusters to be specified in advance

Solution: 

A key disadvantage of K-means is that it requires the user to specify the number of clusters beforehand, which may not always be known.

Which of the following is a disadvantage of the K-means algorithm?

Practice Questions

Q1
Which of the following is a disadvantage of the K-means algorithm?
  1. It can handle large datasets efficiently
  2. It requires the number of clusters to be specified in advance
  3. It is sensitive to outliers
  4. It can be used for both supervised and unsupervised learning

Questions & Step-by-Step Solutions

Which of the following is a disadvantage of the K-means algorithm?
Correct Answer: Requires specifying number of clusters
  • Step 1: Understand what K-means algorithm is. It is a method used to group data into clusters.
  • Step 2: Know that when using K-means, you need to decide how many clusters (groups) you want to create before starting.
  • Step 3: Realize that sometimes you may not know the best number of clusters to use for your data.
  • Step 4: Recognize that this requirement to choose the number of clusters in advance can be a disadvantage of the K-means algorithm.
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