… clusters lie in … highdimensionaldata sets it is likely that clusters lie only in subsets of the full space. Thus, many algorithms for clusteringhighdimensionaldata automatically find clusters …
… of clusteringhigh-dimensionaldata. 1.2 Finding Clusters in High-DimensionalData As sketched in the previous application scenarios, when clusteringhighdimensionaldata, we face …
C Ding, X He, H Zha, HD Simon - … Conference on Data Mining …, 2002 - ieeexplore.ieee.org
… for clusteringhigh dimensional data using adaptive dimension reductions. … cluster centers is sufficient to find the cluster centers. The subspace containing cluster centers is of dimension …
AAA Esmin, RA Coelho, S Matwin - Artificial Intelligence Review, 2015 - Springer
… for large data sets … clusteringhigh-dimensionaldata. An attempt is made to provide a guide for the researchers who are working in the area of PSO and high-dimensionaldataclustering. …
… centrality within a high-dimensionaldatacluster and that major hubs can be used effectively as cluster prototypes. In addition, we propose three new clustering algorithms and evaluate …
… real data sets show that HDDC outperforms existing methods for clusteringhigh-dimensional data. … In this section, a brief survey of these works in clustering of high-dimensionaldata is …
A Zimek - Data Clustering, 2018 - taylorfrancis.com
… the curse of dimensionality have been actually the main motivation for developing specialized methods for clustering in subspaces of potentially highdimensionaldata even though this …
F Masulli, S Rovetta - Clustering High--Dimensional Data: First …, 2015 - Springer
… clusterhighdimensionaldata sets we have to overcome some difficult problems that are expressions of the curse of dimensionality … of dataclustering in high-dimensionaldata space …
M Pavithra, RMS Parvathi - International Journal of Applied Engineering …, 2017 - jit.ac.in
… clusteringhighdimensionaldata. In this paper, a novel approach for clusteringhighdimensional data … Clustered Facebook data is used to find the closeness between two participants in …