Self-Constrained Spectral Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3188160
Abstract: As a leading graph clustering technique, spectral clustering is one of the most widely used clustering methods to capture complex clusters in data. Some additional prior information can help it to further reduce the difference… read more here.
Keywords: prior information; constrained spectral; spectral clustering; self constrained ... See more keywords
Constrained spectral clustering via multi–layer graph embeddings on a grassmann manifold
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Applied Mathematics and Computer Science"
DOI: 10.2478/amcs-2019-0010
Abstract: Abstract We present two algorithms in which constrained spectral clustering is implemented as unconstrained spectral clustering on a multi-layer graph where constraints are represented as graph layers. By using the Nystrom approximation in one of… read more here.
Keywords: spectral clustering; constrained spectral; layer graph; multi layer ... See more keywords