Clustering with Similarity Preserving
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DOI: 10.1016/j.neucom.2019.07.086
Abstract: Graph-based clustering has shown promising performance in many tasks. A key step of graph-based approach is the similarity graph construction. In general, learning graph in kernel space can enhance clustering accuracy due to the incorporation… read more here.
Keywords: graph learning; similarity preserving; similarity; graph ... See more keywords
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding
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DOI: 10.1109/tcbb.2015.2407393
Abstract: In recent years, a remarkable amount of protein-protein interaction (PPI) data are being available owing to the advance made in experimental high-throughput technologies. However, the experimentally detected PPI data usually contain a large amount of… read more here.
Keywords: protein interaction; similarity preserving; protein protein; local similarity ... See more keywords
sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3014262
Abstract: In this paper, we focus on co-selection of instances and features in the semi-supervised learning scenario. In this context, co-selection becomes a more challenging problem as data contain labeled and unlabeled examples sampled from the… read more here.
Keywords: supervised selection; semi supervised; similarity preserving; selection ... See more keywords