Pages that link to "Item:Q5252899"
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The following pages link to An ensemble of<i>k</i>-nearest neighbours algorithm for detection of Parkinson's disease (Q5252899):
Displaying 8 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 hybrid two-stage squeezenet and support vector machine system for Parkinson's disease detection based on handwritten spiral patterns (Q2115906) (← links)
- MSEBAG: a dynamic classifier ensemble generation based on ‘minimum-sufficient ensemble' and bagging (Q2795143) (← 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)
- Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering (Q5497351) (← links)
