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Explain with suitable examples Linearly and Non-linearly separable pattern classification

written 8.1 years ago by teamques10 ★ 69k

modified 2.9 years ago by sagarkolekar ★ 11k

soft computing

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written 8.1 years ago by teamques10 ★ 69k

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 errors are uncorrelated with predictor values	Yields biased estimates

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