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What is Clustering?

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Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or relationships within data, clustering algorithms help businesses gain insights, segment customers, detect anomalies, and make data-driven decisions.

Other Definitions

Incremental Learning

Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model…

Multimodal Learning

Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple…

Ensemble Learning

Ensemble Learning involves combining multiple Machine Learning models to achieve superior performance and accuracy. By leveraging the “wisdom of the crowd,” Ensemble Learning mitigates…

One-Shot Learning

One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks…
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