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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “pairwise-nearest-neighbor”

Systematically and efficiently improving

k

-means initialization by pairwise-nearest-neighbor smoothingcs.LG

PNN-smoothing improves $k$ -means clustering by merging subsets' clusterings.

problem Improving

k

-means clustering initialization efficiency and effectiveness.

method Split dataset into subsets, cluster each subset, merge with PNN method.

result PNN-smoothing enhances

k

-means++ seeding, reducing costs.

k-means clustering initialization meta-method pairwise-nearest-neighbor

2022-02-08abs ↗pdf ↗

Recombinator-k-means: An evolutionary algorithm that exploits k-means++ for recombinationcs.LG

We introduce an evolutionary algorithm called recombinator- $k$ -means for optimizing the highly non-convex kmeans problem. Its defining feature is that its crossover step involves all the members of the current generation, stochastically recombining them with a repurposed variant of the $k$ -means++ seeding algorithm. Th…

2019-05-01abs ↗pdf ↗