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# Clustering and Cluster Analysis Quiz

Created by
@SensitiveNirvana

### Which type of learning method is clustering?

• Unsupervised learning (correct)
• Semi-supervised learning
• Supervised learning
• Reinforcement learning
• ### Clustering is used for which type of analysis?

• Predictive analysis
• Causal analysis
• Descriptive analysis
• Exploratory analysis (correct)
• ### Which of the following is an example of clustering application?

• Classifying images
• Segmenting customers for marketing (correct)
• Predicting stock market trends
• Detecting fraud in financial transactions
• ### How is similarity between two observations measured in clustering?

<p>By their Euclidean distance</p> Signup and view all the answers

### What is the main characteristic of observations within each group in clustering?

<p>They have similar values</p> Signup and view all the answers

### True or false: Clustering is a supervised learning method.

<p>False</p> Signup and view all the answers

### True or false: Clustering is used for exploratory analysis.

<p>True</p> Signup and view all the answers

### True or false: Clustering groups data into sets of related clusters.

<p>True</p> Signup and view all the answers

### True or false: Observations within each group in clustering are less similar to each other than observations within other groups.

<p>False</p> Signup and view all the answers

### True or false: Similarity between two observations in clustering is measured as similarity between their target attributes.

<p>False</p> Signup and view all the answers

## Study Notes

### Clustering Concept

• Clustering is an unsupervised learning method for grouping data without prior knowledge of the groups.
• It doesn't require labelled data or a target attribute for prediction or classification.

### Characteristics of Clustering

• All attributes are considered in the analysis.
• The groups are not known in advance.
• Clustering is used for exploratory analysis.

### Applications of Clustering

• Segmenting customers who share similar interests for marketing purposes.
• Clustering webpages based on their content (e.g., grouping internet articles).
• Grouping high/low risk patients based on their health characteristics for insurance policy planning.

### Clustering Process

• Clustering learns by grouping data into sets of related clusters.
• Observations within each group are more similar to each other than observations within other groups.

### Concept of Similarity

• Finding similarities between data based on the data characteristics.
• Similarity between two observations is measured as the distance between them.

### Clustering Techniques

• Hierarchical method (e.g., Agglomerative clustering).
• Others (not specified in the text, but there are other clustering techniques like K-Means, K-Medoids, etc.).

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## Description

Test your knowledge on clustering and cluster analysis with this quiz! Learn about the unsupervised learning method used for grouping, where no labelled data is required. Explore how clustering can be used for exploratory analysis and discover real-world applications, such as segmenting customers for targeted marketing.

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