登录
首页 » matlab » 用matlab 实现了kmeans算法

用matlab 实现了kmeans算法

于 2020-06-19 发布 文件大小:2410KB
0 316
下载积分: 1 下载次数: 0

代码说明:

  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

  • 聚类指标小结
    说明:  聚类评价指标的各种说明,非常详细,请仔细阅读。(Cluster evaluation indicators of various descriptions, very detailed.)
    2020-06-19 05:20:01下载
    积分:1
  • 512810
    自己写的一个分形程序,支持动态编译表达式()
    2017-11-28 16:57:06下载
    积分:1
  • 机器学习与R语言(machine_learning)
    机器学习与R语言(machine_learning)源代码下载,内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)
    2020-09-26 17:17:47下载
    积分:1
  • Kares入门资料打包
    深度学习框架Keras入门资料,里面的代码包括课件和DEMO有利于新书入门学习,简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)
    2020-06-17 17:00:01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
  • weka源代码
    weka是一个很优秀的数据挖掘软件,可以把weka作为程序包打入工程中,基本想要的功能很快就能实现
    2023-06-01 10:00:04下载
    积分:1
  • guanlianguize
    说明:  r语言中关联规则代码实现 运用arulesViz包和arules包中的apriori函数(Code Implementation of Association Rule)
    2019-01-24 15:39:51下载
    积分:1
  • Python for Data Analysis
    利用python进行数据分析,英文书籍,从pandas库的数据分析工具开始利用高性能工具对数据进行加载、清理、转换、合并以及重塑;利用matpIotlib创建散点图以及静态或交互式的可视化结果;利用pandas的groupby功能对数据集进行切片、切块和汇总操作;处理各种各样的时间序列数据。(Starting from the data analysis tools of pandas database, high performance tools are used to load, clean, transform, merge and remodel data; scatter plots and static or interactive visualization results are created by matpIotlib; data sets are sliced, sliced and aggregated by pandas group by function; and various operations are processed. Time series data.)
    2020-06-16 03:20:01下载
    积分:1
  • DBSCAN
    Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN)
    2017-05-02 22:36:20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
  • 696516资源总数
  • 106405会员总数
  • 10今日下载