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西北工业大学 国内
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A new pattern classification improvement method with local quality matrix based on K-NN
Zhun ga Liu
, Zuowei Zhang, Yu Liu, Jean Dezert,
Quan Pan
自动化学院
Northwestern Polytechnical University Xian
Naval Aviation University
Office national d'études et de recherches aérospatiales
科研成果
:
期刊稿件
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同行评审
30
引用 (Scopus)
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探究 'A new pattern classification improvement method with local quality matrix based on K-NN' 的科研主题。它们共同构成独一无二的指纹。
分类
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Computer Science
Classification Accuracy
100%
Pattern Classification
100%
classification result
75%
Experimental Result
25%
Classification Task
25%
Labeled Data Set
25%
Belief Function
25%
Real Data Sets
25%
Conditional Probability
25%
Probability Function
25%
Engineering
Nearest Neighbor
100%
Classification Accuracy
80%
Accuracy Improvement
60%
Experimental Result
20%
Real Data
20%
Conditional Probability
20%
Classification Task
20%
Optimisation Procedure
20%
K Value
20%
Mathematics
Matrix (Mathematics)
100%
Nearest Neighbor
100%
Belief Function
16%
Probability Theory
16%
Real Data
16%
Labeled Data
16%
Probability Function
16%
Conditional Probability
16%