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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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3 results for “inverted-file”

Inverted-File k-Means Clustering: Performance Analysisstat.ML

IVF k-means algorithm improves performance on large sparse data sets.

problem Efficiently clustering large-scale sparse data sets with numerous classes.

method Sparse data representation and inverted-file structure for high-speed and low-memory clustering.

result IVF achieves better performance than other algorithms on real document data sets.

k-means clustering inverted-file structure sparse data performance analysis cache misses

2020-02-21abs ↗pdf ↗

Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Datastat.ML

SIVF k-means algorithm speeds up sparse data clustering.

problem Efficiently clustering large-scale high-dimensional sparse data.

method Inverted-file structure for centroids, filter-based similarity reduction.

result SIVF achieves higher speed and lower memory consumption.

k-means clustering sparse data high-dimensional inverted-file centroid-pair

2021-03-30abs ↗pdf ↗

Local Orthogonal Decomposition for Maximum Inner Product Searchcs.LG

Inverted file and asymmetric distance computation (IVFADC) have been successfully applied to approximate nearest neighbor search and subsequently maximum inner product search. In such a framework, vector quantization is used for coarse partitioning while product quantization is used for quantizing residuals. In the ori…

2019-03-25abs ↗pdf ↗