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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Fei Wang

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3 papers indexed here

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Open access Nov 2026

Enhanced Markov clustering with reverse k-nearest neighbors, min–max expansion, and adaptive local pruning

Markov clustering (MCL) is a widely used clustering algorithm for graph data partitioning. However, it suffers from three key limitations: the lack of theoretical investigation into the reliability of graph construction methods for MCL, difficulty in parameter expansion tuning, and the reliance on global pruning strate...

Le Li, Fei Wang, P. Fränti · 0 citations
Book Open access Aug 2026

Constraint-Aligned Subspace Transformation for Scalable Kernel Metric Learning in Clustering

Constraint-Aligned Subspace Transformation (CAST), a novel framework that restricts metric adaptation to a low dimensional subspace strictly induced by pairwise constraints, is proposed, and an implicit update formulation that enables distance evaluation in O (r) time, effectively reducing memory complexity to O (nr).

Fei Wang, Le Li, P. Fränti · 0 citations
Book Open access Aug 2026

Constraint-Aligned Subspace Transformation for Scalable Kernel Metric Learning in Clustering

Kernel Distance Metric Learning (KDML) is a powerful tool for enhancing clustering performance by adapting the data geometry to correct structural mismatches. However, traditional global KDML methods suffer from severe scalability issues, often incurring O (n3) computational costs and O (n2) memory usage, where n is th...

Fei Wang, Le Li, P. Fränti · 0 citations

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