Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
Dehua Peng, Zhipeng Gui, Wenzhang Wei, Fa Li, Jie Gui, Huayi Wu, Jianya Gong
Topics & Concepts
ScalabilityDiscriminative modelComputer scienceEmbeddingRobustness (evolution)Cluster analysisNonlinear dimensionality reductionAnomaly detectionData miningArtificial intelligenceManifold (fluid mechanics)Dimension (graph theory)Key (lock)Set (abstract data type)Data setCluster (spacecraft)Pattern recognition (psychology)Limit (mathematics)Machine learningVector spaceManifold alignmentFeature vectorData pointConstruct (python library)Dimensionality reductionBoosting (machine learning)Space (punctuation)Clustering high-dimensional dataOutlierTheoretical computer scienceData structureSupport vector machineSynthetic dataBig dataFace and Expression RecognitionNeural Networks and ApplicationsAdvanced Clustering Algorithms Research