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- ArticleJune 2002
HD-Eye: visual clustering of high dimensional data
SIGMOD '02: Proceedings of the 2002 ACM SIGMOD international conference on Management of dataPage 629https://doi.org/10.1145/564691.564784Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for guiding the clustering process and understanding the results, which is ...
- ArticleJune 2002
Dwarf: shrinking the PetaCube
SIGMOD '02: Proceedings of the 2002 ACM SIGMOD international conference on Management of dataPages 464–475https://doi.org/10.1145/564691.564745Dwarf is a highly compressed structure for computing, storing, and querying data cubes. Dwarf identifies prefix and suffix structural redundancies and factors them out by coalescing their store. Prefix redundancy is high on dense areas of cubes but ...
- ArticleJune 2002
Clustering by pattern similarity in large data sets
SIGMOD '02: Proceedings of the 2002 ACM SIGMOD international conference on Management of dataPages 394–405https://doi.org/10.1145/564691.564737Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of these models the concept of similarity is based on distances, e.g., ...