Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

Please provide your email address to receive an email when new articles are posted on . Four adnexal mass classification algorithms successfully distinguished lesions when used by a novice operator. A ...

Reliable measures of emergency department (ED) use are important for studying ED utilization and access to care. We assessed the association of emergent classification of an ED visit based on the New ...

Objective: This study developed and tested a computer method to automatically assign subjects to aggregate work groups based on their free text work descriptions. Methods: The Double Root Extended ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But in ...