Πλοήγηση ανά Θέμα "High dimensional spaces"
Αποτελέσματα 1-3 από 3
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Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections
(2020)Short text clustering is a popular problem that focuses on the unsupervised grouping of similar short text documents, or entitled entities. Since the short texts are currently being utilized in a vast number of applications, ... -
Evolutionary principal direction divisive partitioning
(2010)While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ... -
Immune inspired information filtering in a high dimensional space
(2010)Adaptive Information Filtering is a challenging computational problem that requires a high dimensional feature space. However, theoretical issues arise when vector-based representations are adopted in such a space. In this ...