An Actual Survey of Dimensionality Reduction

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American Journal of Computational Mathematics

ISSN Print: 2161-1203
ISSN Online: 2161-1211
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"An Actual Survey of Dimensionality Reduction"
written by Alireza Sarveniazi,
published by American Journal of Computational Mathematics, Vol.4 No.2, 2014

has been cited by the following article(s):

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[91]	DIMENSIONALITY REDUCTION TECHNIQUES

[1]	A study on the effects of normalized TSP features for automated algorithm selection Theoretical Computer Science, 2023 DOI:10.1016/j.tcs.2022.10.019

[2]	Improved Evaluation and Generation Of Grid Layouts Using Distance Preservation Quality and Linear Assignment Sorting Computer Graphics Forum, 2023 DOI:10.1111/cgf.14718

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[5]	Stacked autoencoder with novel integrated activation functions for the diagnosis of autism spectrum disorder Neural Computing and Applications, 2023 DOI:10.1007/s00521-023-08565-2

[6]	A study on the effects of normalized TSP features for automated algorithm selection Theoretical Computer Science, 2023 DOI:10.1016/j.tcs.2022.10.019

[7]	Improved Evaluation and Generation Of Grid Layouts Using Distance Preservation Quality and Linear Assignment Sorting Computer Graphics Forum, 2023 DOI:10.1111/cgf.14718

[8]	Benchmarking Performance of Document Level Classification and Topic Modeling Computers, Materials & Continua, 2022 DOI:10.32604/cmc.2022.020083

[9]	Improved Evaluation and Generation Of Grid Layouts Using Distance Preservation Quality and Linear Assignment Sorting Computer Graphics Forum, 2022 DOI:10.1111/cgf.14718

[10]	LRFMV: An efficient customer segmentation model for superstores PLOS ONE, 2022 DOI:10.1371/journal.pone.0279262

[11]	LRFMV: An efficient customer segmentation model for superstores PLOS ONE, 2022 DOI:10.1371/journal.pone.0279262

[12]	The Shortest Path to Network Geometry 2022 DOI:10.1017/9781108865791

[13]	Big data dimensionality reduction techniques in IoT: review, applications and open research challenges Cluster Computing, 2022 DOI:10.1007/s10586-022-03634-y

[14]	MQ-KPCA: Custom Kernel PCA for Classification of Microscopic Images Journal of The Institution of Engineers (India): Series B, 2022 DOI:10.1007/s40031-022-00818-3

[15]	Detecting the ultra low dimensionality of real networks Nature Communications, 2022 DOI:10.1038/s41467-022-33685-z

[16]	Knowledge Discovery in Engineering Applications Using Machine Learning Techniques Journal of Manufacturing Science and Engineering, 2022 DOI:10.1115/1.4054158

[17]	Nature of Computation and Communication Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2021 DOI:10.1007/978-3-030-92942-8_12

[18]	Nature of Computation and Communication Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2021 DOI:10.1007/978-3-030-92942-8_8

[19]	Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI Applied Sciences, 2021 DOI:10.3390/app11209494

[20]	Evaluation of Various DR Techniques in Massive Patient Datasets using HDFS International Journal of Recent Technology and Engineering (IJRTE), 2021 DOI:10.35940/ijrte.D6508.1110421

[21]	On the potential of normalized TSP features for automated algorithm selection Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2021 DOI:10.1145/3450218.3477308

[22]	Enhanced texture classification through feature compaction using dihybrid bio‐inspired computation techniques Concurrency and Computation: Practice and Experience, 2021 DOI:10.1002/cpe.6453

[23]	Dimensions reduction of vibration signal features using LDA and PCA for real time tool wear detection with single layer perceptron IOP Conference Series: Materials Science and Engineering, 2021 DOI:10.1088/1757-899X/1125/1/012052

[24]	Learning Latent Variable Models with Regularization 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2021 DOI:10.1109/ICECET52533.2021.9698660

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[27]	On the potential of normalized TSP features for automated algorithm selection Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2021 DOI:10.1145/3450218.3477308

[28]	A Ubiquitous and Accurate Floor Estimation System Using Deep Representational Learning Proceedings of the 28th International Conference on Advances in Geographic Information Systems, 2020 DOI:10.1145/3397536.3422202

[29]	Variational quantum algorithms for dimensionality reduction and classification Physical Review A, 2020 DOI:10.1103/PhysRevA.101.032323

[30]	A Ubiquitous and Accurate Floor Estimation System Using Deep Representational Learning Proceedings of the 28th International Conference on Advances in Geographic Information Systems, 2020 DOI:10.1145/3397536.3422202

[31]	Geographical variation in Eurasian red squirrel (Sciurus vulgaris L., 1758) mandibles and the issue of subspecies-level organization: a failure of history? Biological Journal of the Linnean Society, 2019 DOI:10.1093/biolinnean/blz089

[32]	Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation Lecture Notes in Computer Science, 2019 DOI:10.1007/978-3-030-30487-4_20

[33]	Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019 DOI:10.1109/ICMLA.2019.00194

[34]	Land cover classification of PolSAR image using tensor representation and learning Journal of Applied Remote Sensing, 2019 DOI:10.1117/1.JRS.13.016516

[35]	Incremental feature extraction based on decision boundaries Pattern Recognition, 2018 DOI:10.1016/j.patcog.2017.12.010

[36]	Instance selection and feature extraction using cuttlefish optimization algorithm and principal component analysis using decision tree Cluster Computing, 2018 DOI:10.1007/s10586-018-1821-z

[37]	Automated decision support in melanocytic lesion management PLOS ONE, 2018 DOI:10.1371/journal.pone.0203459

[38]	Neighbourhood-preserving dimension reduction via localised multidimensional scaling Theoretical Computer Science, 2018 DOI:10.1016/j.tcs.2017.09.021

[39]	Neighbourhood-preserving dimension reduction via localised multidimensional scaling Theoretical Computer Science, 2018 DOI:10.1016/j.tcs.2017.09.021

[40]	An online incremental orthogonal component analysis method for dimensionality reduction Neural Networks, 2017 DOI:10.1016/j.neunet.2016.10.001

[41]	Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity Neurocomputing, 2017 DOI:10.1016/j.neucom.2016.10.004

[42]	Subspace Projection Methods for Large Scale Image Data Analysis 2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 2017 DOI:10.1109/BigMM.2017.75

[43]	Visualizing the Electrical Structure of Power Systems IEEE Systems Journal, 2017 DOI:10.1109/JSYST.2015.2427994

[44]	Activity Recognition in Egocentric video using SVM, kNN and Combined SVMkNN Classifiers IOP Conference Series: Materials Science and Engineering, 2017 DOI:10.1088/1757-899X/225/1/012226

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[47]	Frontiers in Algorithmics Lecture Notes in Computer Science, 2016 DOI:10.1007/978-3-319-39817-4_16

[48]	Handling high-dimensional data in air pollution forecasting tasks Ecological Informatics, 2016 DOI:10.1016/j.ecoinf.2016.04.007

[49]	Hybrid Fuzzy-Conventional Method to Improve 360-Degree Performance Appraisal 2016 International Symposium on Computer, Consumer and Control (IS3C), 2016 DOI:10.1109/IS3C.2016.21

[50]	Machine Learning in Complex Networks 2016 DOI:10.1007/978-3-319-17290-3_6

[51]	Identifying gene subnetworks associated with clinical outcome in ovarian cancer using Network Based Coalition Game 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 DOI:10.1109/EMBC.2015.7319884

[52]	Using text mining for study identification in systematic reviews: a systematic review of current approaches Systematic Reviews, 2015 DOI:10.1186/2046-4053-4-5

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