We present a new approach for the approximate K-nearest neighbor search based on
navigable small world graphs with controllable hierarchy (Hierarchical NSW, HNSW). The …

Data series are a special type of multidimensional data present in numerous domains,
where similarity search is a key operation that has been extensively studied in the data …

This review considers the class of index structures for fast similarity search. In constructing
and applying such structures, only information on values or ranks of some …

SimilaritySearch. jl that provides algorithms to efficiently retrieve k nearest neighbors from a
metric dataset and other related problems with no knowledge of the underlying algorithms …

Nearest neighbor search is a powerful abstraction for data access; however, data indexing is
troublesome even for approximate indexes. For intrinsically high-dimensional data, high …

The task of policy-based risk assessment is of vital importance to the financial and legal
viability of an organization as well as to its credibility and trust amongst the public at large. In …

Рассмотрен класс таких индексных структур для быстрого поиска по сходству, при
конструировании и применении которых используется только информация о значениях …

One of the approaches for the nearest neighbor search problem is to build a network, which
nodes correspond to the given set of indexed objects. In this case, the search of the closest …

Поиск по похожести широко применяется в различных областях компьютерных наук.
Множество методов было предложено для решения задачи в точной постановке …