linfa-clustering 0.2.1

A collection of clustering algorithms
Documentation 
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[package]
name = "linfa-clustering"
version = "0.2.1"
edition = "2018"
authors = [
    "Luca Palmieri <rust@lpalmieri.com>",
    "xd009642 <danielmckenna93@gmail.com>",
    "Rémi Lafage <remi.lafage@onera.fr>"
]
description = "A collection of clustering algorithms"
license = "MIT/Apache-2.0"

repository = "https://github.com/rust-ml/linfa/"
readme = "README.md"

keywords = ["clustering", "machine-learning", "linfa", "k-means", "unsupervised"]
categories = ["algorithms", "mathematics", "science"]

[features]
serde = ["ndarray/serde"]

[dependencies]
ndarray = { version = "0.13", features = ["rayon", "approx"]}
ndarray-linalg = "0.12"
ndarray-rand = "0.11"
ndarray-stats = "0.3"
sprs = "0.7"
num-traits = "0.1.32"
rand_isaac = "0.2.0"
#serdecrate = { version = "1.0", package = "serde", option = true, default-features = false, features = ["std", "derive"] }

linfa = { version = "0.2.1", path = ".." }

[dev-dependencies]
openblas-src = { version = "0.9", default-features = false, features = ["system"] }
ndarray-npy = { version = "0.5", default-features = false }
criterion = "0.3"
serde_json = "1"
approx = "0.3"

[[bench]]
name = "k_means"
harness = false

[[bench]]
name = "dbscan"
harness = false