Which technique considers the spread of data points around the median to identify outliers?
- Box Plot
- Z-Score (Standardization)
- One-Hot Encoding
- K-Means Clustering
The Box Plot, also known as a box-and-whisker plot, considers the spread of data points around the median and helps identify outliers based on the interquartile range (IQR). Outliers are data points that fall outside the whiskers of the box plot. Z-Score is used for standardization, One-Hot Encoding is used for categorical variables, and K-Means Clustering is a clustering technique and not used for identifying outliers.
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