K-Means Clustering
K-means clustering is an unsupervised learning algorithm that groups similar data points around k centroids without requiring labeled examples.
#Clustering
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Jaccard Similarity
Jaccard similarity is a metric that measures overlap between two sets and is used in clustering, recommendations, text analysis, and image segmentation.
Clustering
Clustering groups unlabeled data points so examples within a group are more similar than examples in other groups.
Unsupervised Learning
By
AIstify Team
• 1 min read
A method where AI models identify patterns in unlabeled data without predefined outputs. It’s used in clustering, anomaly detection, and exploratory data analysis.