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[Otherfknn

Description: KNN算法的实现,k-nearest neighbors聚类算法的matlab 实现
Platform: | Size: 2224 | Author: jack | Hits:

[Other resourcefknn-fxtoolbox

Description: FKNN:模糊KNN分类算法,分类原理简单,是在KNN的基础上扩展而成
Platform: | Size: 83485 | Author: zhihuah | Hits:

[Otherfknn

Description: KNN算法的实现,k-nearest neighbors聚类算法的matlab 实现-KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab
Platform: | Size: 2048 | Author: jack | Hits:

[AI-NN-PRfknn-fxtoolbox

Description: FKNN:模糊KNN分类算法,分类原理简单,是在KNN的基础上扩展而成-FKNN: Fuzzy KNN classification algorithm, a simple classification principle is based on the expansion of KNN by
Platform: | Size: 82944 | Author: zhihuah | Hits:

[matlabfknn

Description: fuzzy k-nearest-neighbor algotithm-fuzzy k-nearest-neighbor algotithm
Platform: | Size: 3072 | Author: pretender001 | Hits:

[Wavelet04799006

Description: The authors present an automatic classification of different power quality (PQ) disturbances using wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based classifier. The training data samples are generated using parametric models of the PQ disturbances. The features are extracted using some of the statistical measures on the WPT coefficients of the disturbance signal when decomposed upto the fourth level. These features are given to the fuzzy k-NN for effective classification.
Platform: | Size: 580608 | Author: gk | Hits:

[Special Effectsfknn

Description: Matlab Fuzzy k-Nearest Neighbor 分类算法-Fuzzy k-Nearest Neighbor Classification Algorithm
Platform: | Size: 2048 | Author: zx | Hits:

[MultiLanguagefknn

Description: FKNN Fuzzy k-nearest neighbor classification algorithm.
Platform: | Size: 2048 | Author: majdi | Hits:

[Picture Vieweraareition

Description: er than mean squared error (MSE) function only. As an additional merit, it is also revealed that rigorous Mercer kernel condition is not required in FKNN networks. When the proposed architecture of FKNN networks is constructed in a layer-by-layer way, i.e., the number of the hidden nodes of every hidden layer may be determined only in terms of the extracted principal com- ponents after the explicit execution of a KPCA, we can develop FKNN’s deep architecture such that its deep learning framework (DLF) has strong theoretical guarantee. Our experimental results about image classification manifest that the proposed FKNN’s deep architecture and its DLF based learning indeed enhance the classification performance
Platform: | Size: 1587200 | Author: yangs | Hits:

[DocumentsA Fuzzy K-Nearest Neighbor Algorithm

Description: 模糊k近邻的经典理论之作,很详细,大家可以下载(A Fuzzy K-Nearest Neighbor Algorithm)
Platform: | Size: 1353728 | Author: cherish&2017 | Hits:

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