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What is the primary goal of K-means clustering?
What is the primary goal of K-means clustering?
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Practice Questions
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What is the primary goal of K-means clustering?
To classify data into predefined categories
To reduce the dimensionality of data
To partition data into K distinct clusters
To predict future data points
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K-means clustering aims to partition data into K distinct clusters based on feature similarity.
Questions & Step-by-step Solutions
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Q
Q: What is the primary goal of K-means clustering?
Solution:
K-means clustering aims to partition data into K distinct clusters based on feature similarity.
Steps: 5
Show Steps
Step 1: Understand that K-means clustering is a method used in data analysis.
Step 2: Know that the goal is to group similar data points together.
Step 3: Identify that 'K' represents the number of clusters you want to create.
Step 4: Realize that the algorithm works by finding the best way to separate the data into these K groups.
Step 5: Remember that the aim is to make the data points in each cluster as similar as possible.
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