Todo DSpace

Listar por tema "Traditional clustering"

Mostrando ítems 1-2 de 2

    • Improving Hierarchical Short Text Clustering through Dominant Feature Learning 

      Akritidis L., Alamaniotis M., Fevgas A., Tsompanopoulou P., Bozanis P. (2022)
      This paper focuses on the popular problem of short text clustering. Since the short text documents typically exhibit high degrees of data sparseness and dimensionality, the problem in question is generally considered more ...

    • A Scalable Short-Text Clustering Algorithm Using Apache Spark 

      Akritidis L., Alamaniotis M., Fevgas A., Bozanis P. (2021)
      Short text clustering deals with the problem of grouping together semantically similar documents with small lengths. Nowadays, huge amounts of text data is being generated by numerous applications such as microblogs, ...