Literature record (part109) -- self representation based unsupervised exemplar selection in a union of subspaces

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Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces

Author：Chong You , Chi Li , Daniel P. Robinson, and Rene Vidal

Journal：IEEE Transactions on Pattern Analysis and Machine Intelligence

Year：2022

DOI：10.1109/TPAMI.2020.3035599

Keywords：Unsupervised exemplar selection, imbalanced data, large-scale data, subspace clustering

Code：None

Abstract

Finding a small number of representatives from unlabeled data sets is a core problem in the wide application of data set summarization and information extraction . classical exemplar selection methods, Such as k-medoids, It works under the assumption that the data points are close to several cluster centers , And can't handle data close union of subspaces The situation of . This paper presents a new exemplar selection model, The model looks for a subset &#x