> For the complete documentation index, see [llms.txt](https://help.partek.illumina.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.partek.illumina.com/partek-flow/user-manual/task-menu/normalization-and-scaling/impute-missing-values.md).
# Impute missing values
This task is to replace missing data in the data with estimated values based on selected method.
Figure 1. Select methods to replace missing values in the data
First select the computation is based on samples/cells or features, and click **Finish** to replace missing values. Some functions will generate the same results no matter which transform option is selected, e.g. constant value. Others will generate different results:
* Constant values: specify a value to replace the missing data
* Maximum: use maximum value of samples/cells or features to replace missing data depends transform option
* Mean: use mean value of samples/cells or features to replace missing data depends transform option
* Median: use median value of samples/cells or features to replace missing data depends transform option
* Minimum: use minimum value of samples/cells or features to replace missing data depends transform option
* K-nearest neighbor (mean): specify number of neighbors (N), Euclidean metric is used to compute neighbors, use mean of (N) neighbors to replace missing data
* K-nearest neighbor (median): specify number of neighbors (N), Euclidean metric is used to compute neighbors, use median of (N) neighbors to replace missing data
## Additional Assistance
If you need additional assistance, please visit [our support page](http://www.partek.com/support) to submit a help ticket or find phone numbers for regional support.
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