Which of the following tasks can be "best" solved using clustering?
(1 Point)
O Predicting the amount of rainfall based on various cues
O
Stock market price prediction
Detecting fraudulent credit card transactions
D
Training a robot to solve a maze
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Detecting fraudulent credit card transactions using clustering.
Credit card fraud detecting using clustering :
- Unsupervised learning may be used to group card transactions into fraud transactions.
- Credit card fraud detection approaches that use classifiers rely on the notion that criminal tendencies may be discovered from a study of historical transactions.
- For credit cards, data is produced randomly, and the K-means clustering technique is utilized to determine if the transactions are fraudulent or not.
- Clustering of low, high, dangerous, and high hazardous credit card transactions are built to detect fraud.
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