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 ...

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter. The ...

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now ...

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 ...

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 ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts! #Sleep ...

The service for building and hosting algorithms and monetizing them as APIs will also support the standard repositories for third-party code used by each language Algorithmia, a marketplace for ...