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  • Update : 2017-11-30
  • Size : 15kb
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  • Author :景_天
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Introduction - If you have any usage issues, please Google them yourself
CLIQUE (Clustering In QUEst) is a simple grid based clustering method for the discovery of clusters based on density in subspace. CLIQUE divides each dimension into a non overlapping interval, dividing the entire embedded space of the data object into a unit. It uses a density threshold to identify dense and sparse units. A unit is dense, if the number of objects mapped to it is more than the density threshold.
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src
src\ClusterClique
src\ClusterClique\Cell.java 1416 2017-11-29
src\ClusterClique\CellCoordinator.java 367 2017-11-29
src\ClusterClique\Cluster.java 810 2017-11-29
src\ClusterClique\ClusterByClique.java 10253 2017-11-29
src\ClusterClique\ClusterConfig.java 487 2017-11-29
src\ClusterClique\ClusterCoordinator.java 860 2017-11-29
src\ClusterClique\Facet.java 2240 2017-11-29
src\ClusterClique\FacetSet.java 322 2017-11-29
src\ClusterClique\FieldSet.java 3534 2017-11-29
src\ClusterClique\MergeCellTask.java 382 2017-11-29
src\ClusterClique\PrepareCellTask.java 376 2017-11-29
src\KaggleTube
src\KaggleTube\DeviationCalculator.java 6177 2017-11-30
src\KaggleTube\FlatTableConvertor.java 7242 2017-11-30
src\KaggleTube\PriceDeviation.java 313 2017-11-30
src\KaggleTube\RowData.java 917 2017-11-30
src\KaggleTube\TrainingProcessor.java 1788 2017-11-30
src\KaggleTube\TubeAssemble.java 818 2017-11-30
src\KaggleTube\TubeConfig.java 672 2017-11-30
src\KaggleTube\UnitPrice.java 54 2017-11-30
src\Test
src\Test\TestMain.java 393 2017-11-30
src\Test\ThreadDemo.java 1717 2017-11-30
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