In the first half this paper, we generalize the theory of layer points for Lesnick- (or degree-Rips-) complexes to the more general context of -hierarchical clusterings. Layer points provide a compressed description of a hierarchical clustering by recording only the points where a cluster changes. For multi-parameter hierarchical clusterings we consider both a global notion of layer points and layer points in the direction of a single parameter. An interleaving of hierarchical clusterings of the same set induces an interleaving of global layer points. In the particular, we consider cases where a hierarchical clustering of a finite metric space, , is interleaved with a hierarchical clustering of some sample . In the second half, we focus on the hierarchical clustering $\pi_0 L_{-,k}(Y)YX \subseteq Y$ satisfies certain conditions guaranteeing is well dispersed in and the points of are dense around , there is an interleaving of layer points for $\pi_0 L_{-,k}(Y)L_{-,0}(X) = V_{-}(X)$. Under stronger conditions, this interleaving defines a retract from the layer points for to the layer points for .

生成讲解博客的中文版本

生成AI智能校验的中文版本