The _________ algorithm is commonly used for clustering and pattern recognition tasks.
- Decision Tree
- K-Means
- Naive Bayes
- Support Vector Machine (SVM)
K-Means algorithm is a popular unsupervised learning algorithm used for clustering data. It partitions the data into K clusters based on similarities in feature space, aiming to minimize the within-cluster sum of squares, making it suitable for tasks like customer segmentation or image compression.
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