量子聚类--matlab

上传者: super100 | 上传时间: 2019-12-21 21:11:57 | 文件大小: 117KB | 文件类型: zip
量子聚类算法matlab实现,并与其它多类方法进行比较,希望对大家有所帮助~

文件下载

资源详情

[{"title":"( 57 个子文件 117KB ) 量子聚类--matlab","children":[{"title":"myShowQc.m <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"clusterResultsDlg.fig <span style='color:#111;'> 19.41KB </span>","children":null,"spread":false},{"title":"fineCluster.m <span style='color:#111;'> 588B </span>","children":null,"spread":false},{"title":"fuzzyCMeansDlg.fig <span style='color:#111;'> 24.52KB </span>","children":null,"spread":false},{"title":"plotClustersInColors.m <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"cnnClustering.m <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"guiSimulatePE.m <span style='color:#111;'> 17.75KB </span>","children":null,"spread":false},{"title":"numOfClassesDlg.m <span style='color:#111;'> 7.66KB </span>","children":null,"spread":false},{"title":"guiTruncateInput.m <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"show_qc.m <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"fuzzyCMeansDlg.m <span style='color:#111;'> 13.18KB </span>","children":null,"spread":false},{"title":"relabelClassificationFromReference.m <span style='color:#111;'> 1.09KB </span>","children":null,"spread":false},{"title":"matrixShapeDlg.fig <span style='color:#111;'> 21.95KB </span>","children":null,"spread":false},{"title":"reorderData.m <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"findNumClust.m <span style='color:#111;'> 208B </span>","children":null,"spread":false},{"title":"calculateJaccardByReference.m <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"myClustMeasure.m <span style='color:#111;'> 2.84KB </span>","children":null,"spread":false},{"title":"paramsForCNNDlg.m <span style='color:#111;'> 11.71KB </span>","children":null,"spread":false},{"title":"guiClusters.fig <span style='color:#111;'> 46.58KB </span>","children":null,"spread":false},{"title":"compareMethodsTool.m <span style='color:#111;'> 7.74KB </span>","children":null,"spread":false},{"title":"graddesc.m <span style='color:#111;'> 913B </span>","children":null,"spread":false},{"title":"fileBrowser.m <span style='color:#111;'> 9.16KB </span>","children":null,"spread":false},{"title":"plotClassification.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"qcClustering.m <span style='color:#111;'> 853B </span>","children":null,"spread":false},{"title":"paramsForCNNDlg.fig <span style='color:#111;'> 24.01KB </span>","children":null,"spread":false},{"title":"plotTruncateData.m <span style='color:#111;'> 756B </span>","children":null,"spread":false},{"title":"plotClusters.m <span style='color:#111;'> 657B </span>","children":null,"spread":false},{"title":"clustersToolResults.m <span style='color:#111;'> 9.23KB </span>","children":null,"spread":false},{"title":"clustersToolResults.fig <span style='color:#111;'> 42.78KB </span>","children":null,"spread":false},{"title":"guiClusters.m <span style='color:#111;'> 15.94KB </span>","children":null,"spread":false},{"title":"fileBrowser.fig <span style='color:#111;'> 15.61KB </span>","children":null,"spread":false},{"title":"qui.m <span style='color:#111;'> 95B </span>","children":null,"spread":false},{"title":"guiTruncateInputWithSelectedDims.m <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"referenceClustering.m <span style='color:#111;'> 997B </span>","children":null,"spread":false},{"title":"compact.m <span style='color:#111;'> 120B </span>","children":null,"spread":false},{"title":"clustersTool2.m <span style='color:#111;'> 21.93KB </span>","children":null,"spread":false},{"title":"clustersTextualResults.m <span style='color:#111;'> 10.37KB </span>","children":null,"spread":false},{"title":"numOfClassesDlg.fig <span style='color:#111;'> 14.45KB </span>","children":null,"spread":false},{"title":"clustersToolMethods.fig <span style='color:#111;'> 25.27KB </span>","children":null,"spread":false},{"title":"estimateNumberOfSignificantDims.m <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"qc.m <span style='color:#111;'> 2.10KB </span>","children":null,"spread":false},{"title":"clustersTextualResults.fig <span style='color:#111;'> 12.80KB </span>","children":null,"spread":false},{"title":"lb.fig <span style='color:#111;'> 9.67KB </span>","children":null,"spread":false},{"title":"paramsForQCDlg.fig <span style='color:#111;'> 21.33KB </span>","children":null,"spread":false},{"title":"clustersToolMethods.m <span style='color:#111;'> 10.13KB </span>","children":null,"spread":false},{"title":"paramsForQCDlg.m <span style='color:#111;'> 11.61KB </span>","children":null,"spread":false},{"title":"lb.m <span style='color:#111;'> 5.28KB </span>","children":null,"spread":false},{"title":"plotPEJ.m <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"clustersTool3.fig <span style='color:#111;'> 24.00KB </span>","children":null,"spread":false},{"title":"truncateInput.m <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"guiSimulatePE.fig <span style='color:#111;'> 43.08KB </span>","children":null,"spread":false},{"title":"clustersTool2.fig <span style='color:#111;'> 35.00KB </span>","children":null,"spread":false},{"title":"clustersTool3.m <span style='color:#111;'> 12.56KB </span>","children":null,"spread":false},{"title":"clustersTool.m <span style='color:#111;'> 12.09KB </span>","children":null,"spread":false},{"title":"clustersTool.fig <span style='color:#111;'> 16.98KB </span>","children":null,"spread":false},{"title":"clusterResultsDlg.m <span style='color:#111;'> 4.60KB </span>","children":null,"spread":false},{"title":"matrixShapeDlg.m <span style='color:#111;'> 8.22KB </span>","children":null,"spread":false}],"spread":true}]

评论信息

  • stereohomology :
    感谢分享; 也许python的scikits-learn更好些
    2014-07-24
  • az_lanan :
    可以运行,但是只能做很简单数据量很小的聚类,基本上大数据的情况下支持性非常差,只能实验用了。大数据还得另行开发
    2012-05-17

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