👉 Segmentation is a process in machine learning and data science where we divide our dataset into smaller, more manageable pieces. This is often used to simplify our models by reducing their complexity or improving the performance of existing ones. We can use techniques like k-means clustering, hierarchical clustering, or any other method that involves grouping similar observations together. By segmenting a dataset, we can improve the efficiency and accuracy of our algorithms, making them more effective in solving complex problems.
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