We present a new generalized version of the fuzzy k-nearest neighbor (FKNN) classifier that uses local mean vectors and utilizes the Bonferroni mean.
We present a new generalized version of the fuzzy k-nearest neighbor (FKNN) classifier that uses lo- cal mean vectors and utilizes the Bonferroni mean. We call ...
We present a new generalized version of the fuzzy k-nearest neighbor (FKNN) classifier that uses local mean vectors and utilizes the Bonferroni mean.
Jun 11, 2024 · In this study, we demonstrated a new method of multiclass data classification by combining Fuzzy K-Nearest Neighbor (FKNN) and Latent ...
Missing: classifier | Show results with:classifier
A local Bonferroni Mean based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN) classifier that assigns class label of a query sample dependent on the nearest ...
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In this study, we demonstrated a new method of multiclass data classification by combining Fuzzy. K-Nearest Neighbor (FKNN) and Latent Discriminant Analysis ...
Missing: classifier | Show results with:classifier
BM-FKNN is a new generalized version of the fuzzy k-nearest neighbor (FKNN) classifier that uses local mean vectors and utilizes the Bonferroni mean. The BM- ...
Bonferroni Mean Fuzzy K-NearestNeighbors (BM-FKNN), which is also one of those algorithms, is presented in this paper for Chinese character recognition. The ...
Oct 22, 2024 · We propose a local Bonferroni Mean based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN) classifier that assigns class label of a query sample ...
We propose a local Bonferroni Mean based Fuzzy K-Nearest Centroid Neighbor (BM-FKNCN) classifier that assigns class label of a query sample dependent on the ...