Skip to main content

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. Various types of visualizations are also supported.

For references about the different algorithms visit the following sites:

elbow : Elbow Method

elbow_kf :

silhouette : Silhouette Score

gap_stat : Paper | Python

gap_stat_wolog : Paper

Installation

To install the OptimalCluster package through the Python Package index (PyPI) run the following command:

pip install OptimalCluster

Documentation

Visit this link : Documentation

Example

Visit this link : Example

Metadata

Release files for OptimalCluster 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for OptimalCluster 0.1.0
File Size Uploaded
OptimalCluster-0.1.0.tar.gz 8.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for OptimalCluster 0.1.0
File Interpreter ABI Platform
OptimalCluster-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 17.6 kB

Release files / OptimalCluster-0.1.0.tar.gz

Download URL OptimalCluster-0.1.0.tar.gz
Size 8.1 kB
Tags Source
SHA-256 checksum
How to use checksums
1a5610c3fa4bf7ba6b858b3aaa2fe6f61bd50ed8523bc347acf8a4eaf95db5d2
BLAKE2b-256 checksum
How to use checksums
e5acbbc2fc3ecd9b402d2cb1ea12b72be97610b584a67bc9fe43d2d26eace957
Upload date
Uploaded using Trusted Publishing?
What is 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

Release files / OptimalCluster-0.1.0-py3-none-any.whl

Download URL OptimalCluster-0.1.0-py3-none-any.whl
Size 9.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b57c6855cfc7841244b49578ae121d315d603e96a878b88fa0d0a19cb2206998
BLAKE2b-256 checksum
How to use checksums
ca251e0d905026fc131b8416962862c1dd217ac3d233177eb9182ccdf3efd343
Upload date
Uploaded using Trusted Publishing?
What is 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

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page