Pattern Classification¶
Duda, R. O., Hart, P. E., & Stork, D. G. (2001). Pattern Classification. Wiley.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Metric
- In statistics and machine learning it is Euclidean, Mahalanobis, and cosine distance between feature vectors — and the choice of metric determines what "similar" means, and so determines the results of clustering, nearest-neighbour classification, and retrieval.
This sourceStandard treatment of distance metrics (Euclidean, Mahalanobis, cosine) in clustering, nearest-neighbor classification, and how the metric determines what counts as similar.
- In statistics and machine learning it is Euclidean, Mahalanobis, and cosine distance between feature vectors — and the choice of metric determines what "similar" means, and so determines the results of clustering, nearest-neighbour classification, and retrieval.
Domain-specific¶
Verification¶
Does it exist? Confirmed. This work's ISBN resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Registry ID ref:7c3cbd8be4ac · see in the full table