Many-view clustering
Adán José-García, Julia Handl, Wilfrido Gómez‐Flores, Mario Garza-Fabre · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2019
Multi-view problems generalize standard machine learning problems to situations in which data entities are described from multiple different perspectives, a situation that arises in many applications due to the consideration of multiple data sources or multiple metrics of dissimilarity between entities. Multi-view algorithms for data clustering offer the opportunity to fully consider and integrate this information during the clustering process, but current algorithms are often limited to the use of two views.