Python implementation of various algorithms to find the optimal number of clusters
Reason this release was yanked:
release v0.1.0
Project description
OptimalCluster
OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with standard error, and gap statistics without log.
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
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 OptimalCluster-0.0.1.tar.gz.
File metadata
- Download URL: OptimalCluster-0.0.1.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/49.1.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7d97bf5b2e624687179a4b45cc0504a966e939bdb13bfe75ef598af2f33b16df
|
|
| MD5 |
30ba3310d0f619aa86db98c04b9bfca0
|
|
| BLAKE2b-256 |
8eb0a7cc700aed1493b602dd3d71edc972cebe44043d53ce63bdb12fde1f25cf
|
File details
Details for the file OptimalCluster-0.0.1-py3-none-any.whl.
File metadata
- Download URL: OptimalCluster-0.0.1-py3-none-any.whl
- Upload date:
- Size: 5.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/49.1.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2db59707bd367245a2e89935beee17e24ef543e0861741721e4d53c950e0a451
|
|
| MD5 |
d317fa356124930a83672cb9c72e627d
|
|
| BLAKE2b-256 |
ee0e6946944f74b2444548b158761fba50c58f8d85878f44eeadcede860a9889
|
