Using Locality Preserving Projections to Improve the Performance of Kernel Clustering
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10252-5
Abstract: Many clustering methods may have poor performance when the data structure is complex (i.e., the data has an aspheric shape or non-linear relationship). Inspired by this view, we proposed a clustering model which combines kernel function… read more here.
Keywords: locality preserving; kernel; performance; preserving projections ... See more keywords
Nonlinear fault detection of batch processes based on functional kernel locality preserving projections
Sign Up to like & getrecommendations! Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.10.010
Abstract: Abstract Data-driven fault detection technique has exhibited its wide applications in industrial process monitoring. The batch dataset is often organized as a special three-way array (i.e., batch × variable × time), and the research of data-based batch process monitoring… read more here.
Keywords: kernel locality; locality preserving; process; preserving projections ... See more keywords
A Weighted Sparse Neighbourhood-Preserving Projections for Face Recognition
Sign Up to like & getrecommendations! Published in 2017 at "IETE Journal of Research"
DOI: 10.1080/03772063.2016.1274240
Abstract: ABSTRACT Dimensionality reduction algorithms are widely applied to high-dimensional data pre-processing, especially for face images. In this paper, we propose an unsupervised sparse subspace learning approach called weighted sparse neighbourhood-preserving projections (WSNPP) for face recognition.… read more here.
Keywords: weighted sparse; neighbourhood preserving; preserving projections; sparse neighbourhood ... See more keywords
Joint Sparsity and Collaboration Preserving Projections for Rotating Electrical Machinery Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3029194
Abstract: It is always a serious challenge to deal with the influence of noise for fault detection of rotating electrical machines under varying operating environments. To extract the most discriminative features for machine fault classification, a… read more here.
Keywords: collaboration preserving; preserving projections; joint sparsity; sparsity collaboration ... See more keywords
Configuration Recognition via Class-Dependent Structure Preserving Projections With Application to Targets in SAR Images
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2830103
Abstract: Locality preserving projections (LPP) can preserve the local structure of the datasets effectively. However, it is not capable of separating the samples that are close to each other in the high-dimensional space but belong to… read more here.
Keywords: dependent structure; class; recognition; structure ... See more keywords
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3218551
Abstract: In the field of the fault diagnosis of industrial processes, there are many problems in process data, such as missing critical fault data, high repeatability of normal state data, and poor representation of faults data,… read more here.
Keywords: preserving projections; fault diagnosis; fault; locality preserving ... See more keywords