Palm kernel oil not refined

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entropy , ( ), ; (registering doi) - mar abstract background: a common task in machine learning is clustering data into different groups based on similarities. clustering methods can be divided in two groups: linear and nonlinear. a commonly used linear clustering method is k-means. its extension, kernel

k-means, is a non-linear technique that utilizes a kernel function to project the data to a higher dimensional space. the projected data will then be clustered in different groups. different kernels do not perform similarly when they are applied to different datasets. methods: a kernel function might...

https://www.mdpi.com/journal/entropy

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