{"id":39380455,"url":"https://github.com/rcv911/cluster_generation","last_synced_at":"2026-01-18T03:00:09.619Z","repository":{"id":209921908,"uuid":"114786484","full_name":"rcv911/Cluster_generation","owner":"rcv911","description":"Generation of cluster test data ","archived":false,"fork":false,"pushed_at":"2017-12-20T12:44:04.000Z","size":352,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2023-11-29T20:43:07.131Z","etag":null,"topics":["cluster","cluster-analysis","cluster-generation","clustering","clustering-algorithm","clusters","data-analysis","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","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/rcv911.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}},"created_at":"2017-12-19T16:18:51.000Z","updated_at":"2023-11-29T20:43:14.074Z","dependencies_parsed_at":"2023-11-29T20:43:10.546Z","dependency_job_id":null,"html_url":"https://github.com/rcv911/Cluster_generation","commit_stats":null,"previous_names":["rcv911/cluster_generation"],"tags_count":0,"template":null,"template_full_name":null,"purl":"pkg:github/rcv911/Cluster_generation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rcv911%2FCluster_generation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rcv911%2FCluster_generation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rcv911%2FCluster_generation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rcv911%2FCluster_generation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rcv911","download_url":"https://codeload.github.com/rcv911/Cluster_generation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rcv911%2FCluster_generation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28528025,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-18T00:39:45.795Z","status":"online","status_checked_at":"2026-01-18T02:00:07.578Z","response_time":98,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["cluster","cluster-analysis","cluster-generation","clustering","clustering-algorithm","clusters","data-analysis","machine-learning"],"created_at":"2026-01-18T03:00:08.519Z","updated_at":"2026-01-18T03:00:09.521Z","avatar_url":"https://github.com/rcv911.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Cluster generation\n\n## Description\nIn a nutshell, cluster analysis is analys of similar data objects. Here's examples cluster generation.\n\u003ecluster_test.py\n![cluster_test.py](images/cluster_test.png)\n\u003ecluster_circle.py\n![cluster_circle.py](images/cluster_circle.png)\n\u003ecluster_test_3d.py\n![cluster_test_3d.py](images/cluster_test_3d.png)\n\u003ecluster_sphere_3d.py\n![cluster_sphere_3d.py](images/cluster_sphere_3d.png)\n\nWe will use some examples in future projects for introducing in cluster analysis.\n\n## Code Example\n\nIt needs to create txt file of unity cluster data \n```python\nunity=concatenate([clt1,clt2,clt3],axis=0)\nindeces=random.permutation(unity.shape[0])\nunity=unity.take(indeces,0)\n\nsavetxt('xxx.txt',unity)\n```\n\n## Knowledge\n\nObjects have properties. We are going to consider measurable properties. We assume that all properties\nhas the same type (for example length, width, height). \nNow we need to group objects based on properties. Measure the differences helps. \nIt's **distance**. The properties of the object is now a ***vector***.\n\n\n## Learn more\n\nSource 1: [Wiki](https://en.wikipedia.org/wiki/Cluster_analysis)\nSource 2: [What is cluster analysis?](https://en.wikipedia.org/wiki/Cluster_analysis)\n\n## Installation\n\nYou can use [Python](https://www.python.org/) with data package: [Anaconda](https://www.anaconda.com/) or [Miniconda](https://conda.io/miniconda).\nThere's another way - use [Portable Python](http://portablepython.com/). Also you can use whatever IDE for Python.\n\n## License\n\nFree\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frcv911%2Fcluster_generation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frcv911%2Fcluster_generation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frcv911%2Fcluster_generation/lists"}