lapl 0.1.0

Spectral methods: graph Laplacian, eigenmaps, spectral clustering
Documentation 
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[[bench]]
harness = false
name = "spectral_scaling"
path = "benches/spectral_scaling.rs"

[dependencies.faer]
optional = true
version = "0.23.2"

[dependencies.ndarray]
features = ["approx"]
version = "0.16"

[dependencies.rayon]
optional = true
version = "1.10"

[dependencies.thiserror]
version = "2.0"

[dev-dependencies.criterion]
features = ["html_reports"]
version = "0.5"

[dev-dependencies.proptest]
version = "1.5"

[features]
default = []
faer = ["dep:faer"]
parallel = ["dep:rayon", "ndarray/rayon"]
sparse = []

[lib]
name = "lapl"
path = "src/lib.rs"

[package]
authors = ["Arc <attobop@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["algorithms", "science", "mathematics"]
description = "Spectral methods: graph Laplacian, eigenmaps, spectral clustering"
documentation = "https://docs.rs/lapl"
edition = "2021"
homepage = "https://github.com/arclabs561/lapl"
keywords = ["spectral", "laplacian", "eigenmap", "clustering", "graph"]
license = "MIT OR Apache-2.0"
name = "lapl"
readme = "README.md"
repository = "https://github.com/arclabs561/lapl"
version = "0.1.0"