We present Clusterplot, a multi-class high-dimensional data visualization tool designed to visualize cluster-level information offering an intuitive understanding of the cluster inter-relations. Our unique plots leverage 2D blobs devised to convey the geometrical and topological characteristics of clusters within the high-dimensional data, and their pairwise relations, such that general inter-cluster behavior is easily interpretable in the plot. Class identity supervision is utilized to drive the measuring of relations among clusters in high-dimension, particularly, proximity and overlap, which are then reflected spatially through the 2D blobs. We demonstrate the strength of our clusterplots and their ability to deliver a clear and intuitive informative exploration experience for high-dimensional clusters characterized by complex structure and significant overlap.

中文翻译：

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Clusterplot：高维集群可视化

我们介绍了Clusterplot，这是一种多类的高维数据可视化工具，旨在可视化集群级别的信息，从而提供对集群相互关系的直观了解。我们独特的图块利用二维斑点来传达高维数据中聚类的几何和拓扑特征，以及它们之间的成对关系，从而可以轻松地在图中解释一般的群集间行为。使用类身份监督来驱动对高维聚类之间的关系（尤其是邻近度和重叠度）进行度量，然后通过二维Blob在空间上反映这些关系。