An Improved Kernel Credal Classification Algorithm Based on Regularized Mahalanobis Distance: Application to Microarray Data Analysis
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DOI: 10.1155/2018/7525786
Abstract: Within the kernel methods, an improved kernel credal classification algorithm (KCCR) has been proposed. The KCCR algorithm uses the Euclidean distance in the kernel function. In this article, we propose to replace the Euclidean distance… read more here.
Keywords: classification algorithm; distance; regularized mahalanobis; improved kernel ... See more keywords