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Data Clustering via Optimum-Path Forest by spulber alexandru is a document available to read on EtoBox.

What is Data Clustering via Optimum-Path Forest about?

The document proposes an approach for data clustering based on optimum-path forests. Samples are represented as nodes in a graph, where edges are defined by adjacency and weighted by distance. Nodes are also weighted by their probability density. A connectivity function is maximized to partition the graph into clusters, where each maximum probability density value becomes the root of a cluster containing more strongly connected samples.

Author

spulber alexandru

Language

EN