Research

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.

168,742 papers · 148 categories

Trend · papers per month

count % of corpus

1 result for “magnitude-decaying”

k

k

-means Clustering for Data Missing Not at Random with Magnitude-Decaying Probabilitystat.ML

A novel k-means method for MNAR data improves clustering accuracy.

problem Improving k-means clustering for data missing not at random.

method A magnitude-decaying MNAR scenario-based k-means method with size constraints.

result The method reduces bias in estimated cluster centers and improves clustering accuracy.

k-means missing not at random magnitude-decaying alternative minimization clustering accuracy

2026-06-30abs ↗pdf ↗