Clustering is widely exploited in data mining.It has been proved that embedding weak label prior into clustering is effective to promote its performance.Previous researches mainly focus on only one type of prior.Howev...Clustering is widely exploited in data mining.It has been proved that embedding weak label prior into clustering is effective to promote its performance.Previous researches mainly focus on only one type of prior.However,in many real scenarios,two kinds of weak label prior information,e.g.,pairwise constraints and cluster ratio,are easily obtained or already available.How to incorporate them to improve clustering performance is important but rarely studied.We propose a novel constrained Clustering with Weak Label Prior method(CWLP),which is an integrated framework.Within the unified spectral clustering model,the pairwise constraints are employed as a regularizer in spectral embedding and label proportion is added as a constraint in spectral rotation.To approximate a variant of the embedding matrix more precisely,we replace a cluster indicator matrix with its scaled version.Instead of fixing an initial similarity matrix,we propose a new similarity matrix that is more suitable for deriving clustering results.Except for the theoretical convergence and computational complexity analyses,we validate the effectiveness of CWLP through several benchmark datasets,together with its ability to discriminate suspected breast cancer patients from healthy controls.The experimental evaluation illustrates the superiority of our proposed approach.展开更多
A novel donor-acceptor(D-A) type of two-photon(TP) fluorescent probe,i.e.Lyso-OSC,based on the lysosome-targeting morpholine group was developed.The polarity sensing coumarin group was functionalized as the acceptor a...A novel donor-acceptor(D-A) type of two-photon(TP) fluorescent probe,i.e.Lyso-OSC,based on the lysosome-targeting morpholine group was developed.The polarity sensing coumarin group was functionalized as the acceptor and the 1-vinyl-4-methoxybenzene group was engineered as the donor.The fluorescence intensity and emission maximum wavelength of Lyso-OSC are highly sensitive to the polarity changes of solvent.The two-photon absorption cross-section and tissue penetration depth are up to 254 GM and 150 μm,respectively.The strong fluorescence,high sensitivity to polarity,low cytotoxicity,and accurate lysosome-targeting ability entail Lyso-OSC the excellent performance in detecting the polarity changes ofcellular environment.To this end,a bright,real-time imaging autophagy of living cells has been achieved.展开更多
基金supported by the National Key R&D Program(No.2022ZD0114803)the National Natural Science Foundation of China(Grant Nos.62136005,61922087).
文摘Clustering is widely exploited in data mining.It has been proved that embedding weak label prior into clustering is effective to promote its performance.Previous researches mainly focus on only one type of prior.However,in many real scenarios,two kinds of weak label prior information,e.g.,pairwise constraints and cluster ratio,are easily obtained or already available.How to incorporate them to improve clustering performance is important but rarely studied.We propose a novel constrained Clustering with Weak Label Prior method(CWLP),which is an integrated framework.Within the unified spectral clustering model,the pairwise constraints are employed as a regularizer in spectral embedding and label proportion is added as a constraint in spectral rotation.To approximate a variant of the embedding matrix more precisely,we replace a cluster indicator matrix with its scaled version.Instead of fixing an initial similarity matrix,we propose a new similarity matrix that is more suitable for deriving clustering results.Except for the theoretical convergence and computational complexity analyses,we validate the effectiveness of CWLP through several benchmark datasets,together with its ability to discriminate suspected breast cancer patients from healthy controls.The experimental evaluation illustrates the superiority of our proposed approach.
基金supported by the National Natural Science Foundation of China(Nos.21778001,21672001)Open Fund for Discipline Construction in Institute of Physical Science and Information Technology of Anhui University。
文摘A novel donor-acceptor(D-A) type of two-photon(TP) fluorescent probe,i.e.Lyso-OSC,based on the lysosome-targeting morpholine group was developed.The polarity sensing coumarin group was functionalized as the acceptor and the 1-vinyl-4-methoxybenzene group was engineered as the donor.The fluorescence intensity and emission maximum wavelength of Lyso-OSC are highly sensitive to the polarity changes of solvent.The two-photon absorption cross-section and tissue penetration depth are up to 254 GM and 150 μm,respectively.The strong fluorescence,high sensitivity to polarity,low cytotoxicity,and accurate lysosome-targeting ability entail Lyso-OSC the excellent performance in detecting the polarity changes ofcellular environment.To this end,a bright,real-time imaging autophagy of living cells has been achieved.