What is true about K-Mean Clustering?1. K-means is extremely sensitive to cluster center initializations2. Bad initialization can lead to Poor convergence speed3. Bad initialization can lead to bad overall clustering

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Machine learning (ML) is a branch of artificial intelligence that leverages data to improve computer performance by giving machines the ability to "learn", or improve performance — based on the data.

There are four basic approaches to machine learning: supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.


What is true about K-Mean Clustering?<br>1. K-means is extremely sensitive to cluster center initializations<br>2. Bad initialization can lead to Poor convergence speed<br>3. Bad initialization can lead to bad overall clustering






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