= Label propagation algorithm
{wiki=Label_propagation_algorithm}
Label Propagation is a semi-supervised learning algorithm primarily used for clustering and community detection in graphs. It operates on the principle of spreading labels through the edges of a graph, making it particularly effective in scenarios where the structure of the data is represented as a graph. \#\#\# Key Concepts 1. **Graph Representation**: The data is represented as a graph where: - Nodes (or vertices) represent entities (such as people, documents, etc.).
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