How is the k-nearest neighbours (KNN) algorithm different from and/or similar to K-means clustering. How are these methods used in (data mining and in) machine learning? Very specially, explain – with reference to examples (real or hypothetical) – how KNN and K-means clustering can be used to make classification decisions/predictions.

An HRIS needs analysis usually takes on a particularly prominent role in the analysis phase of an HRIS development project, prior to significant design and implementation activities. Evaluate some of the key potential costs of not planning and conducting a thorough needs analysis.

Answer rating: 100% (QA)

The knearest neighbours KNN algorithm is a nonparametric method used for classification and regression In both cases the input consists of the k close... View the full answer