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Diffstat (limited to 'src')
| -rw-r--r-- | src/lib.rs | 27 |
1 files changed, 27 insertions, 0 deletions
@@ -79,6 +79,33 @@ //! marker trait. For example, a [`VpTree`] will be exact when the [`Proximity`] function is a //! [`Metric`]. //! +//! # Examples +//! +//! ## Searching without owning +//! +//! Since [`Proximity`] has a blanket implementation for references, you can store references in a +//! nearest neighbor index instead of having it hold the data itself: +//! +//! use acap::euclid::Euclidean; +//! use acap::vp::VpTree; +//! use acap::NearestNeighbors; +//! +//! let points = vec![ +//! Euclidean([3, 4]), +//! Euclidean([5, 12]), +//! Euclidean([8, 15]), +//! Euclidean([7, 24]), +//! ]; +//! +//! let tree = VpTree::balanced(points.iter()); +//! +//! let nearest = tree.nearest(&&[7, 7]).unwrap(); +//! assert!(std::ptr::eq(*nearest.item, &points[0])); +//! +//! ## Custom distance functions +//! +//! See the [`Proximity`] documentation. +//! //! [nearest neighbor search]: https://en.wikipedia.org/wiki/Nearest_neighbor_search //! [`distance()`]: Proximity#tymethod.distance //! [`value()`]: Distance#method.value |