{"id":17676908,"url":"https://github.com/tapishr/pca-mlprojects","last_synced_at":"2025-08-10T03:06:31.088Z","repository":{"id":151542964,"uuid":"47497486","full_name":"tapishr/PCA-MLprojects","owner":"tapishr","description":"Generates eigenfaces through PCA analysis","archived":false,"fork":false,"pushed_at":"2018-01-19T06:24:01.000Z","size":10895,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-30T17:39:00.671Z","etag":null,"topics":["eigenfaces","matlab","pca-analysis"],"latest_commit_sha":null,"homepage":"","language":"Matlab","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/tapishr.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":"2015-12-06T13:20:27.000Z","updated_at":"2017-09-05T03:58:01.000Z","dependencies_parsed_at":null,"dependency_job_id":"0eefe18a-72cd-46b5-89dc-ce93213b7423","html_url":"https://github.com/tapishr/PCA-MLprojects","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tapishr/PCA-MLprojects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tapishr%2FPCA-MLprojects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tapishr%2FPCA-MLprojects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tapishr%2FPCA-MLprojects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tapishr%2FPCA-MLprojects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tapishr","download_url":"https://codeload.github.com/tapishr/PCA-MLprojects/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tapishr%2FPCA-MLprojects/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269668741,"owners_count":24456528,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-10T02:00:08.965Z","response_time":71,"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":["eigenfaces","matlab","pca-analysis"],"created_at":"2024-10-24T07:27:05.102Z","updated_at":"2025-08-10T03:06:31.050Z","avatar_url":"https://github.com/tapishr.png","language":"Matlab","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PCA-MLprojects\nThis is a matlab project for generating Principal Components of greyscale facial images. It compresses grayscale images of human faces by applying Principal Component Analysis and selecting only the first 200 components. Then, the images are reconstructed from these components to gauge information loss. This project helped in improving my understanding of how PCA works and how it could be used. \n\n### Screenshot\nThe following is a sample of images that were used and the output generated by the program -\n\n![img1](/images/img1.jpg?raw=true)\n\n### Instructions\nOpen the project in matlab and run `PCA.m`.\n\n### Licence\nMIT License\n\nCopyright (c) [2014] [Tapish Rathore]\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftapishr%2Fpca-mlprojects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftapishr%2Fpca-mlprojects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftapishr%2Fpca-mlprojects/lists"}