Cluster analysis, a commonly used machine-learning technique, uses these basic features to not only categorize materials and summarize similarities between them but also provide information ...

The conventional heuristic-based cluster head (CH) selection techniques tend not to adapt dynamically to network changes, resulting in inefficient energy utilization and decreased network lifetime.

Set up a supervised learning project, then develop and train your first prediction function using gradient descent in Java.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

The Iris dataset is a renowned collection used extensively for testing machine learning algorithms. It consists of 150 samples, each representing one of three species of Iris flowers: Iris-setosa, ...

Novel machine learning-based cluster analysis method that leverages target material property New cluster analysis technique for grouping materials based on both basic features and targeted ...