Description: 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 frame. 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
To Search:
File list (Check if you may need any files):
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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