Edges

In data science, edges refer to the connections between nodes in a graph. A graph is a collection of nodes (also called vertices) and edges that connect them. Edges can be directed or undirected, weighted or unweighted, and can have different types of relationships between nodes. In machine learning, graphs are often used to represent complex data structures, such as social networks, transportation systems, or biological pathways. By analyzing the edges in a graph, data scientists can gain insights into the relationships between different entities and make predictions about their behavior. For example, in a social network, edges can represent friendships or interactions between users, and by analyzing these connections, data scientists can identify communities or predict the spread of information. In image processing, edges refer to the boundaries between different regions in an image, and can be detected using various algorithms such as the Canny edge detector or the Sobel operator.
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