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CLIQUE

于 2017-11-30 发布文件大小:15KB

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CLIQUE（Clustering In QUEst)是一种简单的基于网格的聚类方法，用于发现子空间中基于密度的簇。CLIQUE把每个维划分成不重叠的区间，从而把数据对象的整个嵌入空间划分成单元。它使用一个密度阈值识别稠密单元和稀疏单元。一个单元是稠密的，如果映射到它的对象数超过该密度阈值。(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.)

文件列表：

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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