登录
首页 » matlab » KMeans

KMeans

于 2020-06-19 发布
0 314
下载积分: 1 下载次数: 9

代码说明:

说明:  用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)

文件列表:

KMeans\4.mat, 5013 , 2014-11-01
KMeans\adjusted_Evaluation.m, 12086 , 2018-06-04
KMeans\Bat_Kmeans_r.m, 1724 , 2019-03-23
KMeans\check_K.m, 510 , 2017-05-16
KMeans\DataSet\1.mat, 1098 , 2014-11-01
KMeans\DataSet\10.mat, 43403 , 2014-11-01
KMeans\DataSet\11.mat, 443 , 2014-11-01
KMeans\DataSet\12.mat, 50610 , 2014-11-01
KMeans\DataSet\13.mat, 29391 , 2014-11-01
KMeans\DataSet\14.mat, 3574 , 2016-11-22
KMeans\DataSet\15.mat, 1288 , 2016-11-22
KMeans\DataSet\16.mat, 32271 , 2016-11-22
KMeans\DataSet\17.mat, 1608 , 2016-11-22
KMeans\DataSet\18.mat, 1923 , 2016-11-22
KMeans\DataSet\19.mat, 1875 , 2016-11-22
KMeans\DataSet\2.mat, 5423 , 2014-11-01
KMeans\DataSet\20.mat, 1555 , 2016-11-22
KMeans\DataSet\21.mat, 4461 , 2016-11-22
KMeans\DataSet\22.mat, 7191 , 2014-11-01
KMeans\DataSet\23.mat, 50803 , 2014-11-01
KMeans\DataSet\24.mat, 130996 , 2014-11-01
KMeans\DataSet\25.mat, 247415 , 2014-11-01
KMeans\DataSet\26.mat, 53587 , 2014-11-01
KMeans\DataSet\27.mat, 57709 , 2014-11-01
KMeans\DataSet\28.mat, 36419 , 2014-11-01
KMeans\DataSet\29.mat, 112531 , 2014-11-01
KMeans\DataSet\3.mat, 5136 , 2014-11-01
KMeans\DataSet\30.mat, 1143333 , 2014-11-01
KMeans\DataSet\31.mat, 218866 , 2014-11-01
KMeans\DataSet\32.mat, 5766 , 2017-10-29
KMeans\DataSet\33.mat, 114658 , 2017-10-29
KMeans\DataSet\34.mat, 3854 , 2017-11-07
KMeans\DataSet\35.mat, 13313 , 2017-11-07
KMeans\DataSet\36.mat, 4257 , 2017-11-07
KMeans\DataSet\37.mat, 15129 , 2017-11-07
KMeans\DataSet\38.mat, 13299 , 2017-11-07
KMeans\DataSet\4.mat, 5013 , 2014-11-01
KMeans\DataSet\5.mat, 593 , 2014-11-01
KMeans\DataSet\6.mat, 3136 , 2014-11-01
KMeans\DataSet\7.mat, 16037 , 2014-11-01
KMeans\DataSet\8.mat, 1490 , 2014-11-01
KMeans\DataSet\9.mat, 2057 , 2014-11-01
KMeans\DataSet\test_DataSet.m, 3242 , 2017-11-08
KMeans\jb_scaling.m, 549 , 2016-12-04
KMeans\loadData.m, 634 , 2017-10-31
KMeans\MyShow.m, 2950 , 2018-09-27
KMeans\ResultKmeans\Bat_Kmeans_artificial.xlsx, 9150 , 2019-03-23
KMeans\ResultKmeans\iris1.mat, 6438 , 2019-03-23
KMeans\self_Evaluation.m, 5053 , 2016-12-15
KMeans\self_Kmeans.m, 2030 , 2016-12-15
KMeans\test_Cell.m, 1706 , 2016-12-15
KMeans\test_DataSet.m, 3242 , 2017-11-08
KMeans\test_Index.m, 856 , 2017-11-01
KMeans\DataSet\数据集, 0 , 2018-08-04
KMeans\ResultKmeans\Kmeans, 0 , 2018-04-12
KMeans\DataSet, 0 , 2018-06-06
KMeans\ResultKmeans, 0 , 2019-03-23
KMeans, 0 , 2018-09-27

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 决策树与集成算法
    决策树与集成算法,用来分类已知数据种类,希望对编程有帮助(Decision tree and ensemble algorithm are used to classify known data types.)
    2018-09-09 17:38:01下载
    积分:1
  • 1595175
    动画演示多种排序算法,包括冒泡排序,选择排序,插入排序,快速排序等,()
    2018-03-13 23:48:48下载
    积分:1
  • Archive
    说明:  PCA 数据降维 PTYTHON 数据分析/挖掘(PCA dimensionality reduction data mining/analysis)
    2020-06-21 15:40:02下载
    积分:1
  • AP聚类
    说明:  实现了无监督AP聚类 其优势在于不用知道聚类个数(The advantage of unsupervised AP clustering is that the number of clusters is not known)
    2020-08-13 18:05:48下载
    积分:1
  • HMM-homework
    隐马尔科夫实现,包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)
    2019-04-26 17:02:43下载
    积分:1
  • 频繁项集算法--CFPGROWTH算法
    数据挖掘经典算法,频繁项集挖掘经典算法,CFPGROWTH算法,JAVA实现,代码中有详细注释
    2023-03-29 10:25:03下载
    积分:1
  • Python预处理
    Python数据预处理示例,包括数据清洗、数据整合、数据变换等操作。(Python data preprocessing examples, including data cleaning, data integration, data transformation and other operations.)
    2020-09-17 14:07:54下载
    积分:1
  • mocc3
    说明:  
    2018-02-06 13:33:06下载
    积分:1
  • BIC确定GMM聚类簇
    通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)
    2021-03-26 19:19:13下载
    积分:1
  • Binning算法
    说明:  数据挖掘中的binning算法,用于数据预处理(Binning algorithm in data mining for data preprocessing)
    2019-01-07 09:04:15下载
    积分:1
  • 696516资源总数
  • 106457会员总数
  • 15今日下载