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Mixed Membership Relational Clustering

This technology introduces a probabilistic framework that clusters complex, interconnected data by modeling relationships across multiple object types. It enables more accurate pattern discovery by capturing both individual attributes and interactions simultaneously. The approach unifies multiple clustering methods into a single flexible system, supporting...
Published: 4/24/2026   |   Inventor(s): Bo Long, Zhongfei Zhang
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Computers, Campus > Binghamton University

Soft Correspondence Ensemble Clustering (SCEC)

This technology improves how multiple clustering results are combined into a single, more accurate outcome using a soft correspondence approach. It captures relationships between clusters more effectively than traditional methods, resulting in more robust, stable, and interpretable clustering. The framework enhances performance across diverse datasets,...
Published: 4/24/2026   |   Inventor(s): Bo Long, Zhongfei Zhang
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Computers, Campus > Binghamton University

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