What are the applications of clustering in data analysis?
An example of an AI chatbot conversation about applications of clustering in data analysis.
What are the applications of clustering in data analysis?
Clustering is used in various fields such as marketing, biology, and image processing to group similar data points.
Can you give me an example of clustering in marketing?
Sure! In marketing, clustering helps segment customers based on purchasing behavior, allowing for targeted campaigns.
What clustering algorithms are commonly used?
Common algorithms include K-means, hierarchical clustering, and DBSCAN, each suited for different types of data.
How does clustering benefit healthcare?
In healthcare, clustering can identify patient groups with similar symptoms, aiding in diagnosis and treatment plans.
Are there any limitations to clustering?
Yes, clustering can be sensitive to outliers and may require careful selection of the number of clusters.
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