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Questions and Answers
What type of problem does clustering aim to solve?
What type of problem does clustering aim to solve?
- Determining the relationship between outcome and input variables
- Grouping items by similarity (correct)
- Assigning labels to objects
- Discovering relationships between actions
Which technique is used to find structure or commonalities in data?
Which technique is used to find structure or commonalities in data?
- Regression
- Clustering (correct)
- Association Rules
- Classification
What is the primary goal of cluster analysis?
What is the primary goal of cluster analysis?
- Maximize inter-cluster distances
- Minimize intra-cluster distances (correct)
- Group unrelated objects together
- Maximize intra-cluster distances
In K-means clustering, how are items grouped?
In K-means clustering, how are items grouped?
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What distinguishes clustering from predictive methods?
What distinguishes clustering from predictive methods?
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Which technique is suitable for assigning known labels to objects?
Which technique is suitable for assigning known labels to objects?
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What is the main characteristic of center-based clusters?
What is the main characteristic of center-based clusters?
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What does the centroid represent in a cluster?
What does the centroid represent in a cluster?
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Which distance metric is commonly used in K-means clustering?
Which distance metric is commonly used in K-means clustering?
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What is a key requirement for using K-means clustering on data?
What is a key requirement for using K-means clustering on data?
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Why do clusters produced by K-means vary from one run to another?
Why do clusters produced by K-means vary from one run to another?
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What complexity is associated with K-means clustering?
What complexity is associated with K-means clustering?
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