文件名称:data_generator

  • 所属分类:
  • JSP源码/Java
  • 资源属性:
  • [Java] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 902kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • m***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

Java applet that allows to create a customised spatial data set for clustering, by clicking with the mouse in a panel. Data coordinates appear in the right box and a matrix of Euclidean/ cosine distances between the points can be calculated by selecting the corresponding button at the top fr a me. Values can be copied directly from the applex boxes or check the java virtual machine console in the navigator.

the applet is called mouse_click35.java

the calling html code is test14.html

you can execute the applet online in:

http://it.e-technik.uni-ulm.de/~amalgs/data_generator/test14.html

相关搜索: data
generator

(系统自动生成,下载前可以参看下载内容)

下载文件列表

data_generator

..............\.classpath

..............\.project

..............\bin

..............\...\moj

..............\...\...\similarity

..............\...\...\..........\measures

..............\...\...\..........\........\BaroniUrbaniS_row.class

..............\...\...\..........\........\BinAverageSquaredD_row.class

..............\...\...\..........\........\BinCAS_row.class

..............\...\...\..........\........\BinCosineS_row.class

..............\...\...\..........\........\BinCramerPhiSquaredS_row.class

..............\...\...\..........\........\BinCramerPhiS_row.class

..............\...\...\..........\........\BinDiceD_row.class

..............\...\...\..........\........\BinDispersionS_row.class

..............\...\...\..........\........\BinEuclidD_row.class

..............\...\...\..........\........\BinOchiai1S_row.class

..............\...\...\..........\........\BinOchiai2S_row.class

..............\...\...\..........\........\BinOGES_row.class

..............\...\...\..........\........\BinOverlapS_row.class

..............\...\...\..........\........\BinPatternDiffD_row.class

..............\...\...\..........\........\BinPearsonCorrS_row.class

..............\...\...\..........\........\BinRogersTanimotoS_row.class

..............\...\...\..........\........\BinRusselRaoS_row.class

..............\...\...\..........\........\BinShannonD_row.class

..............\...\...\..........\........\BinShapeDiffD_row.class

..............\...\...\..........\........\BinSizeDiffD_row.class

..............\...\...\..........\........\BinSokalSneath1S_row.class

..............\...\...\..........\........\BinSokalSneath2S_row.class

..............\...\...\..........\........\BinSokalSneath3S_row.class

..............\...\...\..........\........\BinSokalSneath4S_row.class

..............\...\...\..........\........\BinSokalSneath5S_row.class

..............\...\...\..........\........\BinSqEuclidD_row.class

..............\...\...\..........\........\BinVarianceD_row.class

..............\...\...\..........\........\BrayCurtisD_row.class

..............\...\...\..........\........\CanberraD_row.class

..............\...\...\..........\........\CircleProductS_row.class

..............\...\...\..........\........\CircleProductT_row.class

..............\...\...\..........\........\CosineD_row.class

..............\...\...\..........\........\CzekanowskiS_row.class

..............\...\...\..........\........\DiceS_row.class

..............\...\...\..........\........\EuclidD_row.class

..............\...\...\..........\........\GoodmanKruskalGammaS_row.class

..............\...\...\..........\........\InclusionS_row.class

..............\...\...\..........\........\JaccardS_row.class

..............\...\...\..........\........\KendallTauS_row.class

..............\...\...\..........\........\Kulczynski1S_row.class

..............\...\...\..........\........\Kulczynski2S_row.class

..............\...\...\..........\........\LanceWilliamsD_row.class

..............\...\...\..........\........\ManhattanD_row.class

..............\...\...\..........\........\MatchingS_row.class

..............\...\...\..........\........\MeanCensoredEuclidD_row.class

..............\...\...\..........\........\MeanEuclidD_row.class

..............\...\...\..........\........\MinkowskiD_row.class

..............\...\...\..........\........\MinkowskiInfiniteD_row.class

..............\...\...\..........\........\OtsukaS_row.class

..............\...\...\..........\........\PairwiseRankComparisonT_row.class

..............\...\...\..........\........\PearsonCorrS_row.class

..............\...\...\..........\........\RobinsonS_row.class

..............\...\...\..........\........\ScaledTaxonomicS_row.class

..............\...\...\..........\........\SimpleMatchingS_row.class

..............\...\...\..........\........\SimpsonS_row.class

..............\...\...\..........\........\SimRatioS_row.class

..............\...\...\..........\........\SoerensenS_row.class

..............\...\...\..........\........\SpearmanRhoS_row.class

..............\...\...\..........\........\TaxonomicD_row.class

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