k-nn Search Results


k-nn graph algorithm  (MetaCell Inc)
90
MetaCell Inc k-nn graph algorithm
K Nn Graph Algorithm, supplied by MetaCell Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/k-nn graph algorithm/product/MetaCell Inc
Average 90 stars, based on 1 article reviews
k-nn graph algorithm - by Bioz Stars, 2026-05
90/100 stars
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nearest neighbor (knn) imputation  (RStudio)
90
RStudio nearest neighbor (knn) imputation
Nearest Neighbor (Knn) Imputation, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/nearest neighbor (knn) imputation/product/RStudio
Average 90 stars, based on 1 article reviews
nearest neighbor (knn) imputation - by Bioz Stars, 2026-05
90/100 stars
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hls implementation of the knn algorithm on a pcie board with a xilinx ultrascale fpga  (Xilinx Inc)
90
Xilinx Inc hls implementation of the knn algorithm on a pcie board with a xilinx ultrascale fpga
Hls Implementation Of The Knn Algorithm On A Pcie Board With A Xilinx Ultrascale Fpga, supplied by Xilinx Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/hls implementation of the knn algorithm on a pcie board with a xilinx ultrascale fpga/product/Xilinx Inc
Average 90 stars, based on 1 article reviews
hls implementation of the knn algorithm on a pcie board with a xilinx ultrascale fpga - by Bioz Stars, 2026-05
90/100 stars
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knn  (Ceram GmbH)
90
Ceram GmbH knn
Knn, supplied by Ceram GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/knn/product/Ceram GmbH
Average 90 stars, based on 1 article reviews
knn - by Bioz Stars, 2026-05
90/100 stars
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k -nn similarity structures  (MetaCell Inc)
90
MetaCell Inc k -nn similarity structures
K Nn Similarity Structures, supplied by MetaCell Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/k -nn similarity structures/product/MetaCell Inc
Average 90 stars, based on 1 article reviews
k -nn similarity structures - by Bioz Stars, 2026-05
90/100 stars
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naive bayes predictor node  (KNIME GmbH)
90
KNIME GmbH naive bayes predictor node
Naive Bayes Predictor Node, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/naive bayes predictor node/product/KNIME GmbH
Average 90 stars, based on 1 article reviews
naive bayes predictor node - by Bioz Stars, 2026-05
90/100 stars
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knn analysis  (Biologging Solutions Inc)
90
Biologging Solutions Inc knn analysis
Knn Analysis, supplied by Biologging Solutions Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/knn analysis/product/Biologging Solutions Inc
Average 90 stars, based on 1 article reviews
knn analysis - by Bioz Stars, 2026-05
90/100 stars
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k-nn + chi model  (CH Instruments)
90
CH Instruments k-nn + chi model
Summary of accuracy rate of heart disease detection based on FL and Hybrid-based approaches
K Nn + Chi Model, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/k-nn + chi model/product/CH Instruments
Average 90 stars, based on 1 article reviews
k-nn + chi model - by Bioz Stars, 2026-05
90/100 stars
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knn-softmax classifier  (SoftMax Inc)
90
SoftMax Inc knn-softmax classifier
Summary of accuracy rate of heart disease detection based on FL and Hybrid-based approaches
Knn Softmax Classifier, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/knn-softmax classifier/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
knn-softmax classifier - by Bioz Stars, 2026-05
90/100 stars
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knn  (Murad Inc)
90
Murad Inc knn
Summary of accuracy rate of heart disease detection based on FL and Hybrid-based approaches
Knn, supplied by Murad Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/knn/product/Murad Inc
Average 90 stars, based on 1 article reviews
knn - by Bioz Stars, 2026-05
90/100 stars
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cell line assignment (k-nn) metacell network graph  (MetaCell Inc)
90
MetaCell Inc cell line assignment (k-nn) metacell network graph
Summary of accuracy rate of heart disease detection based on FL and Hybrid-based approaches
Cell Line Assignment (K Nn) Metacell Network Graph, supplied by MetaCell Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cell line assignment (k-nn) metacell network graph/product/MetaCell Inc
Average 90 stars, based on 1 article reviews
cell line assignment (k-nn) metacell network graph - by Bioz Stars, 2026-05
90/100 stars
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knn  (StatLog Inc)
90
StatLog Inc knn
Comparison of the related literature on the different datasets.
Knn, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/knn/product/StatLog Inc
Average 90 stars, based on 1 article reviews
knn - by Bioz Stars, 2026-05
90/100 stars
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Image Search Results


Summary of accuracy rate of heart disease detection based on FL and Hybrid-based approaches

Journal: Journal of The Institution of Engineers (India): Series B

Article Title: Fuzzy Logic and Hybrid based Approaches for the Risk of Heart Disease Detection: State-of-the-Art Review

doi: 10.1007/s40031-021-00644-z

Figure Lengend Snippet: Summary of accuracy rate of heart disease detection based on FL and Hybrid-based approaches

Article Snippet: [ ] , K-NN + CHI model , 93.33% , ROC curve, AUC, MCC.

Techniques: Biomarker Discovery

Comparison of the related literature on the different datasets.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Comparison of the related literature on the different datasets.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: Comparison, Selection

Comparison of the related literature based on different datasets.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Comparison of the related literature based on different datasets.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: Comparison

Hyperparameters tuning of the classifiers using grid search CV.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Hyperparameters tuning of the classifiers using grid search CV.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: Activation Assay

Performance of the classifiers on the single and the combined dataset without applying the proposed preprocessing pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on the single and the combined dataset without applying the proposed preprocessing pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on different combinations of the datasets without applying the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on different combinations of the datasets without applying the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on the single and the combined dataset applying PCA on the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on the single and the combined dataset applying PCA on the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on different combinations of the datasets applying PCA on the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on different combinations of the datasets applying PCA on the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on the single and the combined dataset applying RF on the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on the single and the combined dataset applying RF on the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on different combinations of the datasets applying RF.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on different combinations of the datasets applying RF.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: