modeval
Modeval is a term used in statistics and data analysis to denote the process of identifying, evaluating, and comparing the modal values, or modes, of a data distribution. While the mode is the most frequently occurring value, modeval focuses on robustness and stability of modes across samples and scales, and on distinguishing multiple modes in multimodal distributions.
Methods employed in modeval include simple frequency counting for discrete data, and density-based approaches for continuous
To assess reliability, modeval often uses resampling methods, such as bootstrap or subsampling, to produce confidence
Applications of modeval span exploratory data analysis, clustering, anomaly detection, and signal processing. In clustering, identified