[[bench]]
harness = false
name = "k_means"
[dependencies.ndarray]
features = ["rayon", "serde", "approx"]
version = "0.13"
[dependencies.ndarray-rand]
version = "0.11"
[dependencies.ndarray-stats]
version = "0.3"
[dependencies.serde]
features = ["derive"]
version = "1"
[dev-dependencies.approx]
version = "0.3"
[dev-dependencies.criterion]
version = "0.3"
[dev-dependencies.ndarray-npy]
default-features = false
version = "0.5"
[dev-dependencies.rand_isaac]
version = "0.2.0"
[dev-dependencies.serde_json]
version = "1"
[package]
authors = ["Luca Palmieri <rust@lpalmieri.com>"]
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/LukeMathWalker/linfa"
version = "0.1.0"