Validity indices for clusters of uncertain data objects
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Operations Research"
DOI: 10.1007/s10479-018-3043-4
Abstract: Clustering validity indices are the main tools for evaluating the quality of formed clusters and determining the correct number of clusters. They can be applied on the results of clustering algorithms to validate the performance… read more here.
Keywords: data objects; clustering validity; clusters uncertain; uncertain data ... See more keywords
Two-Stage Sparse Representation Clustering for Dynamic Data Streams.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3204894
Abstract: Data streams are a potentially unbounded sequence of data objects, and the clustering of such data is an effective way of identifying their underlying patterns. Existing data stream clustering algorithms face two critical issues: 1)… read more here.
Keywords: landmark windows; data streams; data objects; sparse representation ... See more keywords