Cluster2A
Cluster analysis tools
Only for iPhone
Free · In-App Purchases
iPhone
Machine learning has become a powerful tool, revolutionizing how industries operate. Unsupervised learning is a machine learning method that analyzes and discovers hidden patterns, structures, or relationships in unclassified or unlabeled data. It is widely used to improve customer experience, provide personalized recommendations, optimize operations, and drive innovation. K-means and DBSCAN are two commonly used unsupervised learning algorithms.
Common application scenarios:
Customer and market segmentation: Grouping customers based on their behavior, demographic characteristics, or purchase history for targeted marketing and personalized recommendations.
Retail analytics: Identifying "hotspot areas" in a store through cluster analysis of customer locations.
Cluster2A combines two machine learning algorithms, K-means and DBSCAN, to help users with small datasets take their first steps into the world of machine learning more easily and enjoyably.
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Bug fixes and improvements
The developer, Chu-Yi Chang, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
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Information
- Seller
- Chu-Yi Chang
- Size
- 9.3 MB
- Category
- Productivity
- Compatibility
Requires iOS 26.2 or later.
- iPhone
Requires iOS 26.2 or later.
- Languages
English and 9 more
- English, French, German, Italian, Japanese, Korean, Russian, Simplified Chinese, Spanish, Traditional Chinese
- Age Rating
4+
- 4+
- In-App Purchases
Yes
- DBSCAN Model USD 1.99
- K-means Model USD 1.99
- Copyright
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