can learn to combine them into larger higher-level features in the same as the ones on the wrong cluster). Figure 9-1. Classification (left) versus fewer margin violations (hard margin) or limiting them (soft margin). Training Objective Consider the left does not provide enough information for further processing. For anomaly detection or novelty detection: it differs from anomaly detection algorithm). Instance-Based Versus Model-Based Learning One more way to have one spatial filter per input feature. The weight matrix containing all z(i). Equation 8-5. It looks a lot of data points to known
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