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Computation Time
100%
Feature Selection
100%
Multinomial Logistic Regression
100%
Vibration Signal
100%
Bearing Fault
100%
Bearing Fault Diagnosis
100%
Rolling Bearing
100%
Intrinsic Dimension Estimation
100%
Regression Analysis
50%
Selection Strategy
50%
Bearing Vibration Signal
50%
Classification Accuracy
50%
Global Dimension
50%
Regression-based Method
50%
Feature Selection Methods
50%
Minimal number
50%
Training Model
50%
Geodesics
50%
Fault Diagnosis
50%
Major Failure
50%
Fault Characteristics
50%
Selected Features
50%
Number of Features
50%
Working Load
50%
Rotating Machines
50%
High Classification Accuracy
50%
Neighborhood Component Analysis
50%
Vibration-based Method
50%
Compressive Sampling
50%
Stochastic Proximity Embedding
50%
Compressive Measurement
50%
Sampled Signals
50%
Reduced Computation
50%
Minimal Spanning Tree
50%
Predictive Modeling Techniques
50%
Effective Features Selection
50%
Multinomial Logistic Regression Classifier
50%
Raw Vibration Signal
50%
Computer Science
Feature Extraction
100%
Feature Selection
100%
Logistic Regression
100%
vibration signal
100%
Computation Time
50%
Classification Accuracy
50%
Fault Diagnosis
50%
Case Study
25%
Component Analysis
25%
Experimental Result
25%
Selection Process
25%
Published Research
25%
Spanning Tree
25%
Global Dimension
25%
Compressive Sampling
25%
Geodesics
25%
Sampled Signal
25%
Engineering
Feature Extraction
100%
Rolling Bearings
100%
Classification Accuracy
66%
Computation Time
66%
Bearing Fault Diagnosis
66%
Experimental Result
33%
Component Analysis
33%
Selection Process
33%
Raw Data
33%
Minimal Number
33%
Spanning Tree
33%
Major Failure
33%
Effective Feature
33%
Compressive Sampling
33%
Sampled Signal
33%