模式识别贝叶斯分类器建立最小错误率和最小风险程序.zip

上传者: 43341756 | 上传时间: 2021-06-13 18:01:46 | 文件大小: 1022KB | 文件类型: ZIP
用FAMALE.TXT和MALE.TXT的数据作为训练样本集,建立Bayes分类器,用测试样本数据对该分类器进行测试。实验程序加报告加数据

文件下载

资源详情

[{"title":"( 30 个子文件 1022KB ) 模式识别贝叶斯分类器建立最小错误率和最小风险程序.zip","children":[{"title":"大作业.docx <span style='color:#111;'> 602.06KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"FEMALE.TXT <span style='color:#111;'> 426B </span>","children":null,"spread":false},{"title":"test2.txt <span style='color:#111;'> 2.95KB </span>","children":null,"spread":false},{"title":"test1.txt <span style='color:#111;'> 350B </span>","children":null,"spread":false},{"title":"MALE.TXT <span style='color:#111;'> 424B </span>","children":null,"spread":false}],"spread":true},{"title":"任务一","children":[{"title":"tuxiang.m <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"height.m <span style='color:#111;'> 6.71KB </span>","children":null,"spread":false}],"spread":true},{"title":"部分图像","children":[{"title":"2不想关-error.png <span style='color:#111;'> 31.19KB </span>","children":null,"spread":false},{"title":"1不相关.png <span style='color:#111;'> 72.16KB </span>","children":null,"spread":false},{"title":"error-rate.png <span style='color:#111;'> 28.40KB </span>","children":null,"spread":false},{"title":"2相关.png <span style='color:#111;'> 75.55KB </span>","children":null,"spread":false},{"title":"1相关.png <span style='color:#111;'> 75.03KB </span>","children":null,"spread":false},{"title":"2height-error.png <span style='color:#111;'> 30.82KB </span>","children":null,"spread":false},{"title":"1相关-error.png <span style='color:#111;'> 31.34KB </span>","children":null,"spread":false},{"title":"1不相关-error.png <span style='color:#111;'> 30.94KB </span>","children":null,"spread":false},{"title":"2height.png <span style='color:#111;'> 80.52KB </span>","children":null,"spread":false},{"title":"2相关-error.png <span style='color:#111;'> 30.51KB </span>","children":null,"spread":false},{"title":"2不相关.png <span style='color:#111;'> 69.86KB </span>","children":null,"spread":false}],"spread":false},{"title":"其他部分","children":[{"title":"说明.txt <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"funweigh.m <span style='color:#111;'> 5.25KB </span>","children":null,"spread":false},{"title":"get_bayes_miu_pdf.m <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"bayes_judge_by_weight.m <span style='color:#111;'> 5.17KB </span>","children":null,"spread":false},{"title":"tiaoshi.m <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"bayes_judge_by_height.m <span style='color:#111;'> 5.07KB </span>","children":null,"spread":false}],"spread":true},{"title":"1_Bayes 分类器实验.doc <span style='color:#111;'> 32.50KB </span>","children":null,"spread":false},{"title":"任务二","children":[{"title":"correlated_test2.m <span style='color:#111;'> 7.66KB </span>","children":null,"spread":false},{"title":"uncorrelated_test2.m <span style='color:#111;'> 7.79KB </span>","children":null,"spread":false},{"title":"correlated_test1.m <span style='color:#111;'> 7.68KB </span>","children":null,"spread":false},{"title":"uncorrelated_test1.m <span style='color:#111;'> 7.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"任务三","children":[{"title":"min_risk.m <span style='color:#111;'> 2.26KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明