In K-Means clustering, the number of clusters, k, must be specified in advance.

Question

In K-Means clustering, the number of clusters, k, must be specified in advance.
🧐 Not the exact question you are looking for?Go ask a question

Solution 1

Yes, in K-Means clustering, the number of clusters (k) must indeed be specified in advance. This is one of the limitations of this method. The algorithm doesn't know the number of clusters (k) in the data set in advance, so it must be provided by the user. Here are the steps involved in K-Means clus Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob

Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv

This problem has been solved

Similar Questions

In K-Means clustering, the number of clusters, k, must be specified in advance.

Given a K-Means clustering problem with 5 clusters and 100 data points, how many distances need to be calculated in each iteration?

Which function in scikit-learn is used to perform K-Means clustering?Answer areaK Means Cluster ()K Means ()K Means Clustering ()Cluster K Means ()

Which clustering algorithm does not require specifying the number of clusters beforehand?Hierarchical clusteringDBSCANK-MeansAgglomerative clustering

In K-Means clustering, the algorithm iteratively updates the ______________ of each cluster until convergence.

1/3