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Quantum-like Gaussian mixture model
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DOI：10.1007/s00500-021-05941-9.png)
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摘要
En 中文
A new concept of a quantum-like mixture model is introduced. It describes the mixture distribution with the assumption that a point is generated by each Gaussian at the same time. The quantum-like mixture Gaussian improves the classification accuracy in machine learning by indicating that the uncertain points should not be assigned to any class. It increases the accuracy of the mixture Gaussian model on the iris data set from 96.67 to 99.24%.
Keyword:
Clustering
Quantum probabilities
Interference
Gaussian mixture model
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期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
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引用论文
Quantum and quantum-like machine learning: a note on differences and similarities量子和类量子机器学习: 关于差异和相似性的注释.png)
SOFT COMPUTING
SOFT COMPUTINGIF2.5
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