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What is Clustering & Time Series about?

Clustering is an unsupervised machine learning technique that groups similar data points into clusters based on their features, enabling the discovery of natural patterns in unlabeled data. Common algorithms include K-means, hierarchical clustering, and DBSCAN, each suited for different types of data and applications such as market segmentation, anomaly detection, and image analysis. The process involves measuring similarity between data points, organizing them into groups, and refining clusters to enhance

Author

sbibhas229

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EN