On-device research index

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.

169,051 papers · 148 categories

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2 results for “UPGMA”

Hierarchical clustering with dot products recovers hidden tree structurestat.ML

New clustering method recovers hidden tree structure from data.

problem Recovering hidden hierarchical structure in data.

method Maximum average dot product for merging clusters in hierarchical clustering.

result The algorithm produces a tree that accurately represents the underlying generative hierarchical structure.

hierarchical clustering dot product tree structure hidden structure agglomerative clustering

2023-05-24abs ↗pdf ↗

Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequencesq-bio.QM

Develops a faster soybean genome clustering method combining spectral and vector quantization.

problem Clustering soybean whole genome sequences efficiently.

method Combines Spectral Clustering and Vector Quantization for computational efficiency.

result Significantly outperforms existing methods in cluster quality and time complexity.

Soybean genome Clustering Vector Quantization Spectral Clustering UPGMA

2018-09-30abs ↗pdf ↗