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Halite: Fast and Scalable Multiresolution Local-Correlation Clustering.

, , , and . IEEE Trans. Knowl. Data Eng., 25 (2): 387-401 (2013)

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Clustering Very Large Multi-dimensional Datasets with MapReduce, , , , , and . Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, page 690-698. ACM, (2011)Classificação de Restrições de Integridade em Bancos de Dados Temporais de Versões., , , and . SBBD, page 363-377. UnB, (2004)The Images and Data Bases Group at University of São Paulo., , , , , and . J. Inf. Data Manag., 4 (1): 2-16 (2013)Finding Clusters in subspaces of very large, multi-dimensional datasets., , , and . ICDE, page 625-636. IEEE Computer Society, (2010)Analysis of large scale climate data: how well climate change models and data from real sensor networks agree?, , , , , , , and . WWW (Companion Volume), page 517-526. International World Wide Web Conferences Steering Committee / ACM, (2013)A New Concept of Sets to Handle Similarity in Databases: The SimSets., , , and . SISAP, volume 8199 of Lecture Notes in Computer Science, page 30-42. Springer, (2013)Classification Analysis of NDVI Time Series in Metric Spaces for Sugarcane Identification., , , , , , and . ICEIS (1), page 162-169. SciTePress, (2018)A New Division Operator to Handle Complex Objects in Very Large Relational Datasets., and . EDBT, page 474-477. OpenProceedings.org, (2017)Clustering very large multi-dimensional datasets with MapReduce., , , , , and . KDD, page 690-698. ACM, (2011)Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?, and . Knowl. Based Syst., (2020)