Pages that link to "Item:Q5497351"
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The following pages link to Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering (Q5497351):
Displaying 11 items.
- Diagnosing Parkinson's diseases using fuzzy neural system (Q305990) (← links)
- On the use of \(t\)-distributed stochastic neighbor embedding for data visualization and classification of individuals with Parkinson's disease (Q1728841) (← links)
- An intelligent Parkinson's disease diagnostic system based on a chaotic bacterial foraging optimization enhanced fuzzy KNN approach (Q1734385) (← links)
- A novel semi-supervised multi-view clustering framework for screening Parkinson's disease (Q2038734) (← links)
- An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach (Q2330194) (← links)
- Using fuzzy-rough set evaluation for feature selection and Naive Bayes to classify the Parkinson disease (Q5057611) (← links)
- New machine-learning algorithms for prediction of Parkinson's disease (Q5172596) (← links)
- A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection (Q5252884) (← links)
- An ensemble of<i>k</i>-nearest neighbours algorithm for detection of Parkinson's disease (Q5252899) (← links)
- Hesitant fuzzy agglomerative hierarchical clustering algorithms (Q5265631) (← links)
- Multi-working condition performance assessment based on knowledge extraction of optimal operating states for continuous annealing processes (Q6544810) (← links)
