{"id":20780061,"url":"https://github.com/sajjad425/kmeans_clustering","last_synced_at":"2026-04-21T15:34:27.547Z","repository":{"id":248171873,"uuid":"827965977","full_name":"sajjad425/kmeans_clustering","owner":"sajjad425","description":"The dataset includes the following columns: Id, SepalLengthCm, SepalWidthCm, PetalLengthCm, PetalWidthCm, and Species. We will use the Sepal and Petal measurements to predict the optimum number of clusters using the KMeans algorithm.","archived":false,"fork":false,"pushed_at":"2024-07-12T19:18:57.000Z","size":108,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-11T22:31:26.516Z","etag":null,"topics":["kmeans-clustering","kmeans-clustering-algorithm"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sajjad425.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-12T19:13:13.000Z","updated_at":"2024-07-12T19:19:00.000Z","dependencies_parsed_at":"2024-07-12T21:56:36.510Z","dependency_job_id":null,"html_url":"https://github.com/sajjad425/kmeans_clustering","commit_stats":null,"previous_names":["sajjad425/kmeans_clustering"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sajjad425/kmeans_clustering","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sajjad425%2Fkmeans_clustering","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sajjad425%2Fkmeans_clustering/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sajjad425%2Fkmeans_clustering/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sajjad425%2Fkmeans_clustering/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sajjad425","download_url":"https://codeload.github.com/sajjad425/kmeans_clustering/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sajjad425%2Fkmeans_clustering/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32098004,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-21T11:25:29.218Z","status":"ssl_error","status_checked_at":"2026-04-21T11:25:28.499Z","response_time":128,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["kmeans-clustering","kmeans-clustering-algorithm"],"created_at":"2024-11-17T13:31:40.951Z","updated_at":"2026-04-21T15:34:27.520Z","avatar_url":"https://github.com/sajjad425.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# kmeans_clustering\n## Summary of Steps:\n1. **Import necessary libraries.**\n2. **Preprocess the data:** Standardized the features to ensure equal contribution.\n3. **Determine the optimal number of clusters using the Elbow method:** The Elbow graph indicated 3 as the optimal number.\n4. **Apply KMeans clustering:** Clustered the data into 3 clusters.\n5. **Visualize the clusters:** Created a scatter plot to visually represent the clusters.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsajjad425%2Fkmeans_clustering","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsajjad425%2Fkmeans_clustering","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsajjad425%2Fkmeans_clustering/lists"}