When solving classification problems ... An unsupervised learning algorithm, k-means clustering takes datasets with certain features and values related to these features and groups data points ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Scientists may use methods that fall into only one classification, or they might employ hybrid algorithms that use techniques from multiple categories. Categories of clustering algorithms ...

Classification algorithms can find solutions to supervised ... Lloyd’s algorithm (iterative cluster agglomeration with centroid updates) is the most common heuristic used to solve the problem.