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Explain with suitable examples Linearly and Non-linearly separable pattern classification
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Linear Non-Linear
Algorithms does not require initial values Algorithms require initial values
Globally concave; Non convergence is not an issue Non convergence is a common issue
Normally solved using direct methods Usually an iterative process
Solutions is unique Multiple minima in the sum of squares
Yields unbiased estimates even when …

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