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¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:7c3cbd8be4ac · see in the full table