Tag Archives: k-means

K-Means Clustering in J

Perception is essentially the problem of extracting high-level patterns from large amounts of raw-data (from sensors). Correctly recognizing the pattern/shape “dog” in a bitmap is one example of a tricky perceptual task. Note that the symbol “dog/not dog” is much less information than the raw image data. This compression is vital for being able to [...]

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