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首页> 外文会议>IEEE Pacific Visualization Symposium >Dendrogramix: A hybrid tree-matrix visualization technique to support interactive exploration of dendrograms
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Dendrogramix: A hybrid tree-matrix visualization technique to support interactive exploration of dendrograms

机译：树木图：一种支持树木图交互式探索的混合树矩阵可视化技术

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Clustering is often a first step when trying to make sense of a large data set. A wide family of cluster analysis algorithms, namely hierarchical clustering algorithms, does not provide a partition of the data set but a hierarchy of clusters organized in a binary tree, known as a dendrogram. The dendrogram has a classical node-link representation used by experts for various tasks like: to decide which subtrees are actual clusters (e.g., by cutting the dendrogram at a given depth); to give those clusters a name by inspecting their content; etc. We present Dendrogramix, a hybrid tree-matrix interactive visualization of dendrograms that superimposes the relationship between individual objects on to the hierarchy of clusters. Dendrogramix enables users to do tasks which involve both clusters and individual objects that are impracticable with the classical representation, like: to explain why a particular objects belongs to a particular cluster; to elicit and understand uncommon patterns (e.g., objects that could have been classified in a totally different cluster); etc. Those sensemaking tasks are supported by a consistent set of interaction techniques that facilitates the exploration of large clustering results.
机译：群集通常是试图了解大数据集的第一步。广泛的群集分析算法，即分层聚类算法，不提供数据集的分区，而是在二进制树中组织的群集层次结构，称为树形图。树木曲线图具有由各种任务的专家使用的经典节点链路表示，例如：以确定哪些子树是实际的簇（例如，通过在给定深度切割树木）;通过检查他们的内容给予那些群集的名字;等等。我们呈现了树木图，一个混合树矩阵的树形图的交互式可视化，其叠加在群集的层次结构上的各个对象之间的关系。 dendrogramix使用户能够执行涉及与经典表示不切实际的群集和单个对象的任务，例如：解释特定对象属于特定群集的原因;引出并理解不常见的模式（例如，可以在完全不同的集群中分类的对象）;这些激发任务由一组一致的相互作用技术支持，这有利于探索大型聚类结果。

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