edgecategory
Edgecategory is a term used in data analysis and machine learning to describe a specific type of data point or observation that lies at the extreme end of a particular distribution or dataset. These points are often referred to as outliers or anomalies, but the term "edgecategory" emphasizes their position relative to the bulk of the data.
Identifying edgecategory data is crucial for several reasons. In statistical analysis, outliers can disproportionately influence mean,
Techniques for handling edgecategory data vary depending on the context. Common approaches include outlier detection algorithms,