sift:principal_component_analysis:local_outlier_factor_dialog
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| sift:principal_component_analysis:local_outlier_factor_dialog [2024/11/15 20:03] – [Dialog] wikisysop | sift:principal_component_analysis:local_outlier_factor_dialog [2024/11/15 20:19] (current) – [Dialog] wikisysop | ||
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| The Local Outlier Factor using PCA allows the user to automatically search the data and identify traces that are outside the norm. The search for outliers can be done by Combined Groups, Group, and Workspaces. Users can decide if they want to auto-exclude any outliers that are detected in the groups or workspaces. Users can specify conditions of the LOF technique, including number of nearest neighbours, thresholds, p-values, and outlier percentage. | The Local Outlier Factor using PCA allows the user to automatically search the data and identify traces that are outside the norm. The search for outliers can be done by Combined Groups, Group, and Workspaces. Users can decide if they want to auto-exclude any outliers that are detected in the groups or workspaces. Users can specify conditions of the LOF technique, including number of nearest neighbours, thresholds, p-values, and outlier percentage. | ||
sift/principal_component_analysis/local_outlier_factor_dialog.1731701028.txt.gz · Last modified: 2024/11/15 20:03 by wikisysop