A package for efficient implementation of the K-means clustering on high-dimensional sparse data sets
Project description
See documentation here: https://github.com/cjlin1/sparsekmeans
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sparsekmeans-0.2.1.tar.gz
(9.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sparsekmeans-0.2.1.tar.gz.
File metadata
- Download URL: sparsekmeans-0.2.1.tar.gz
- Upload date:
- Size: 9.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34225dd6663e5aea7d3c6fcf5e2c340b5945fe62393d43518e97417cf9d5ecf4
|
|
| MD5 |
c8f7e84452eabb0cead44761dacca0a8
|
|
| BLAKE2b-256 |
44fd74b4dabaf76e22fc1be032968fcb17a604f3d632b097b44d83304906e1fc
|
File details
Details for the file sparsekmeans-0.2.1-py3-none-any.whl.
File metadata
- Download URL: sparsekmeans-0.2.1-py3-none-any.whl
- Upload date:
- Size: 7.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cc3fc054ee5fe9ee4ba424d48171eede850e0f235ab164ddac224b8748afe1ac
|
|
| MD5 |
633f6ca23da0cb91ee612581c595d159
|
|
| BLAKE2b-256 |
d406327cbc3192294bfd3ad98f796c6f5bc474624eb09f8a10220b852b7cc155
|