The applicability of agglomerative clustering, for inferring both hierarchical and flat
clustering, is limited by its scalability. Existing scalable hierarchical clustering methods …

We consider the problem of clustering with user feedback. Existing methods express
constraints about the input data points, most commonly through must-link and cannot-link …

Hierarchical clusterings compactly encode multiple granularities of clusters within a tree
structure. Hierarchies, by definition, fail to capture different flat partitions that are not …

Recently, an exciting experimental conclusion in Li et al.(Knowl Inf Syst 62 (2): 611–637,)
about measures of uncertainty for knowledge bases has attracted great research interest for …

Clustering is the task of organizing data into meaningful groups. Modern clustering
applications such as entity resolution put several demands on clustering algorithms:(1) …

Intelligent, automated systems that are intertwined with everyday life---such as Google
Search and virtual assistants like Amazon's Alexa or Apple's Siri---are often powered in part …