https://github.com/danesherbs/expectation-maximisation-gmm
Implementation of EM algorithm for the Gaussian mixture model.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic links in README
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.6%) to scientific vocabulary
Keywords
clustering
expectation-maximization
gaussian-mixture-model
matlab
Last synced: 5 months ago
·
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Repository
Implementation of EM algorithm for the Gaussian mixture model.
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
clustering
expectation-maximization
gaussian-mixture-model
matlab
Created over 6 years ago
· Last pushed over 6 years ago
Metadata Files
License
Owner
- Name: Dane
- Login: danesherbs
- Kind: user
- Location: Melbourne, Australia
- Website: danesherbs.com
- Twitter: danesherbs
- Repositories: 51
- Profile: https://github.com/danesherbs
GitHub Events
Total
Last Year
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Dane | d****s@g****m | 3 |
| Dane | d****s | 1 |
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0