Nearest neighbour distance matrix classification

Nearest neighbour distance matrix classification

A distance based classification is one of the popular methods for classifying instances using a point-to-point distance based on the nearest neighbour or k-NEAREST NEIGHBOUR (k-NN).The representation of distance measure can be one of the various measures available (e.g. Euclidean distance, Manhattan...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Sainin, Mohd Shamrie, Alfred, Rayner
Beste egile batzuk:	Longbing, Chao
Formatua:	Book Section
Argitaratua:	Springer 2010
Gaiak:	QA76 Computer software

Antzeko izenburuak

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Improving the Fuzzy Min-Max Neural Network with a K-nearest Hyperbox Expansion Rule for Pattern Classification
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Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
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Improving the identification and classification of Malaysian medical leaf images using ensemble method
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A new feature set partitioning method for nearest mean classifier ensembles
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Likelihood inference in nearest-neighbour classification models
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The design of an intelligent community portal for diabetes patient
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Evolutionary-based feature construction with substitution for data summarization using DARA
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The evaluation of pedestrians’ behavior using M/G/C/C analytical, weighted distance and real distance simulation models
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AI techniques in the implementation of distance learning: A proposal
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Ensemble classifier and resampling for imbalanced multiclass learning
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Ensemble Meta Classifier with Sampling and Feature Selection for Data with Multiclass Imbalance Problem
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Phase diagram of the Ising model next-nearest-neighbour interactions
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Phase diagram of the Ising model with next-nearest-neighbour interactions
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Nearest neighbour queries on commercial databases
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