An evolutionary algorithm for clustering data streams with a variable number of clusters
- J. A. SilvaEduardo R. HruschkaJoão Gama
- 2017
Computer Science
Novelty detection for multi-label stream classification under extreme verification latency
- J. D. CostaE. FariaJ. A. SilvaJ. GamaR. Cerri
- 1 April 2023
Computer Science, Engineering
Optimization Algorithms for Scalable Stream Batch Clustering with k Estimation
- P. L. CândidoJ. A. SilvaE. FariaM. Naldi
- 25 June 2022
Computer Science
Three evolutionary algorithms are presented, along with three novel algorithms designed to deal with clusters of normal distribution based on goodness-of-fit tests in the context of scalable batch stream clustering with automatic estimation of the number of clusters, to improve the accuracy of sequential clustering batches of data streams.