文件名称:CLIQUE
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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.)
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
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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