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IJCAI
2003

Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks

11 years 1 months ago
Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks
We present a coherent framework for data clustering. Starting with a Hopfield network, we show the solutions for several well-motivated clustering objective functions are principal components. For MinMaxCut objectives motivated for ensuring cluster balance, the solutions are the nonlinearly scaled principal components. Using scaled PC A, we generalize to multi-way clustering, constructing a self-aggregation network, where connection weights between different clusters are automatically suppressed while connection weights within same clusters are automatically enhanced.
Chris H. Q. Ding
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where IJCAI
Authors Chris H. Q. Ding
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