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

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written 7.4 years ago by

teamques10 ★ 64k

modified 2.2 years ago by

sagarkolekar ★ 11k

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written 7.4 years ago by

teamques10 ★ 64k

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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