KNN算法实现

上传者: seafood01 | 上传时间: 2022-04-24 20:25:29 | 文件大小: 1.82MB | 文件类型: RAR
KNN
matlab上的KNN源代码,附多个demo

文件下载

资源详情

[{"title":"( 84 个子文件 1.82MB ) KNN算法实现","children":[{"title":"KNN","children":[{"title":"k近邻","children":[{"title":"k近邻","children":[{"title":"KNN文本分类算法研究.pdf <span style='color:#111;'> 106.69KB </span>","children":null,"spread":false},{"title":"柔性KNN算法研究.pdf <span style='color:#111;'> 424.25KB </span>","children":null,"spread":false},{"title":"kNN.pdf <span style='color:#111;'> 72.46KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"knn7","children":[{"title":"assignment2_code_knn","children":[{"title":"test_classifiers.m <span style='color:#111;'> 3.69KB </span>","children":null,"spread":false},{"title":"minimum_distance.m <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"simdata","children":[{"title":"simdata2.mat <span style='color:#111;'> 133.62KB </span>","children":null,"spread":false},{"title":"simdata1.mat <span style='color:#111;'> 3.42KB </span>","children":null,"spread":false}],"spread":true},{"title":"k_nearest_neighbor.m <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"knn1.m <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false},{"title":"nearest_neighbor.m <span style='color:#111;'> 980B </span>","children":null,"spread":false},{"title":"euclidean.m <span style='color:#111;'> 615B </span>","children":null,"spread":false},{"title":"maxvalue.m <span style='color:#111;'> 699B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"764866273knn","children":[{"title":"L1.bmp <span style='color:#111;'> 65.05KB </span>","children":null,"spread":false},{"title":"L7.bmp <span style='color:#111;'> 65.05KB </span>","children":null,"spread":false},{"title":"L6.bmp <span style='color:#111;'> 65.05KB </span>","children":null,"spread":false},{"title":"L5.bmp <span style='color:#111;'> 65.05KB </span>","children":null,"spread":false},{"title":"shiyan.m <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"L3.bmp <span style='color:#111;'> 65.05KB </span>","children":null,"spread":false},{"title":"L2.bmp <span style='color:#111;'> 65.05KB </span>","children":null,"spread":false},{"title":"L4.bmp <span style='color:#111;'> 65.05KB </span>","children":null,"spread":false}],"spread":true},{"title":"knn","children":[{"title":"knnClass.m <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"countele.m <span style='color:#111;'> 403B </span>","children":null,"spread":false},{"title":"knn.asv <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"spambase_train.txt <span style='color:#111;'> 85.20KB </span>","children":null,"spread":false},{"title":"knn1.m <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"knnClass.asv <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 79B </span>","children":null,"spread":false},{"title":"vecdist.m <span style='color:#111;'> 748B </span>","children":null,"spread":false},{"title":"spambase_test.txt <span style='color:#111;'> 9.46KB </span>","children":null,"spread":false},{"title":"knn_iris.m <span style='color:#111;'> 417B </span>","children":null,"spread":false}],"spread":true},{"title":"knn和集成学习任务说明和例子","children":[{"title":"baseline.m <span style='color:#111;'> 4.60KB </span>","children":null,"spread":false},{"title":"Task KNN and Ensemble.docx <span style='color:#111;'> 19.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"knn2","children":[{"title":"KNN","children":[{"title":"KNN.m <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"neighborhood classifiers.pdf <span style='color:#111;'> 278.56KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"knn_transfusion.asv <span style='color:#111;'> 405B </span>","children":null,"spread":false},{"title":"knn4","children":[{"title":"iris_1.mat <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"qhtknn.m <span style='color:#111;'> 702B </span>","children":null,"spread":false},{"title":"IRIS.MAT <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"Untitledknn.m <span style='color:#111;'> 46B </span>","children":null,"spread":false}],"spread":true},{"title":"KNN算法示例","children":[{"title":"k近邻算法","children":[{"title":"k近邻算法.txt <span style='color:#111;'> 9.66KB </span>","children":null,"spread":false},{"title":"VecDist.m <span style='color:#111;'> 8.53KB </span>","children":null,"spread":false}],"spread":true},{"title":"KNN.m <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"knnsearch","children":[{"title":"knnsearch.m <span style='color:#111;'> 3.99KB </span>","children":null,"spread":false},{"title":"license.txt <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false},{"title":"readme.txt <span style='color:#111;'> 953B </span>","children":null,"spread":false}],"spread":true},{"title":"neighborhood classifiers.pdf <span style='color:#111;'> 278.56KB </span>","children":null,"spread":false},{"title":"www.pudn.com.txt <span style='color:#111;'> 218B </span>","children":null,"spread":false}],"spread":true},{"title":"knn6","children":[{"title":"KNN","children":[{"title":"KNN.m <span style='color:#111;'> 762B </span>","children":null,"spread":false},{"title":"Main.m <span style='color:#111;'> 12.56KB </span>","children":null,"spread":false},{"title":"DrawLine.m <span style='color:#111;'> 740B </span>","children":null,"spread":false},{"title":"KNN.doc <span style='color:#111;'> 95.00KB </span>","children":null,"spread":false},{"title":"untitled.fig <span style='color:#111;'> 5.71KB </span>","children":null,"spread":false},{"title":"Condensing.m <span style='color:#111;'> 947B </span>","children":null,"spread":false},{"title":"Edit_Repeat.m <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"GetPoint.m <span style='color:#111;'> 531B </span>","children":null,"spread":false},{"title":"Edit_Two.m <span style='color:#111;'> 786B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"knn3","children":[{"title":"KNN","children":[{"title":"Dat_Normalize.m <span style='color:#111;'> 939B </span>","children":null,"spread":false},{"title":"KNN_Classify.m <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"KNN_dauto.m <span style='color:#111;'> 464B </span>","children":null,"spread":false},{"title":"K_NN.m <span style='color:#111;'> 836B </span>","children":null,"spread":false},{"title":"countele.m <span style='color:#111;'> 717B </span>","children":null,"spread":false},{"title":"demoknn.m <span style='color:#111;'> 242B </span>","children":null,"spread":false},{"title":"knn.m <span style='color:#111;'> 835B </span>","children":null,"spread":false},{"title":"knn_cross.m <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"looknn.m <span style='color:#111;'> 4.47KB </span>","children":null,"spread":false},{"title":"fcmknn.m <span style='color:#111;'> 905B </span>","children":null,"spread":false},{"title":"looknn_label.m <span style='color:#111;'> 4.46KB </span>","children":null,"spread":false},{"title":"KNN_auto.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"vecdist.m <span style='color:#111;'> 781B </span>","children":null,"spread":false}],"spread":false},{"title":"www.pudn.com.txt <span style='color:#111;'> 218B </span>","children":null,"spread":false}],"spread":true},{"title":"knn_transfusion.m <span style='color:#111;'> 404B </span>","children":null,"spread":false},{"title":"knn5","children":[{"title":"KNN.m <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"neighborhood classifiers.pdf <span style='color:#111;'> 278.56KB </span>","children":null,"spread":false},{"title":"www.pudn.com.txt <span style='color:#111;'> 218B </span>","children":null,"spread":false}],"spread":true},{"title":"knn1","children":[{"title":"knn","children":[{"title":"knnClass.m <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"countele.m <span style='color:#111;'> 403B </span>","children":null,"spread":false},{"title":"knn.asv <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"spambase_train.txt <span style='color:#111;'> 85.20KB </span>","children":null,"spread":false},{"title":"knn1.m <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"knnClass.asv <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 79B </span>","children":null,"spread":false},{"title":"vecdist.m <span style='color:#111;'> 748B </span>","children":null,"spread":false},{"title":"spambase_test.txt <span style='color:#111;'> 9.46KB </span>","children":null,"spread":false}],"spread":false},{"title":"www.pudn.com.txt <span style='color:#111;'> 218B </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"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