2019
Multi-view cluster analysis with incomplete data to understand treatment effects
Chao G, Sun J, Lu J, Wang AL, Langleben DD, Li CS, Bi J. Multi-view cluster analysis with incomplete data to understand treatment effects. Information Sciences 2019, 494: 278-293. PMID: 32863420, PMCID: PMC7455020, DOI: 10.1016/j.ins.2019.04.039.Peer-Reviewed Original ResearchCo-clustering methodsGranular computing methodData entryCo-clustering methodDifferent feature spacesIncomplete dataComputing methodFeature spaceData problemCluster validityIndicator matrixTime windowObserved entriesPrevious methodsEntire viewConsistent clustersDifferent viewsCommon scenarioMissing-data patternsAnalyticsAlgorithmEnhanced formulationCommon methodScenariosRecognition
2011
AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING
Cappabianco F, Ide J, Falcão A, Li C. AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING. 2011, 2653-2656. DOI: 10.1109/icip.2011.6116212.Peer-Reviewed Original ResearchOptimum-Path Forest ClusteringAutomatic MR image segmentationMR image segmentationLocal image propertiesSegmentation accuracyOptimum connectivityFeature spaceGlobal informationTissue segmentationImage propertiesMR imagesPopular techniqueProbabilistic atlasExtant methodsSegmentationImportant issueImagesProbability valuesWhite matter voxelsAlgorithmVoxelsClusteringNew methodAccuracyConnectivity