[[bench]]
harness = false
name = "k_means"
[[bench]]
harness = false
name = "dbscan"
[dependencies.linfa]
version = "0.2.1"
[dependencies.ndarray]
features = ["rayon", "approx"]
version = "0.13"
[dependencies.ndarray-linalg]
version = "0.12"
[dependencies.ndarray-rand]
version = "0.11"
[dependencies.ndarray-stats]
version = "0.3"
[dependencies.num-traits]
version = "0.1.32"
[dependencies.rand_isaac]
version = "0.2.0"
[dependencies.sprs]
version = "0.7"
[dev-dependencies.approx]
version = "0.3"
[dev-dependencies.criterion]
version = "0.3"
[dev-dependencies.ndarray-npy]
default-features = false
version = "0.5"
[dev-dependencies.openblas-src]
default-features = false
features = ["system"]
version = "0.9"
[dev-dependencies.serde_json]
version = "1"
[features]
serde = ["ndarray/serde"]
[package]
authors = ["Luca Palmieri <rust@lpalmieri.com>", "xd009642 <danielmckenna93@gmail.com>", "Rémi Lafage <remi.lafage@onera.fr>"]
categories = ["algorithms", "mathematics", "science"]
description = "A collection of clustering algorithms"
edition = "2018"
keywords = ["clustering", "machine-learning", "linfa", "k-means", "unsupervised"]
license = "MIT/Apache-2.0"
name = "linfa-clustering"
readme = "README.md"
repository = "https://github.com/rust-ml/linfa/"
version = "0.2.1"