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Up: Component summary
Component
XShiftClustererClusters data using the original implementation of the X-shift algorithm.
| Version | 1.0 |
|---|---|
| Bundle | tools |
| Categories | Clustering |
| Authors | Antti Häkkinen (antti.e.hakkinen@helsinki.fi) |
| Issue tracker | View/Report issues |
| Requires | installer (bash) ; xshift-GlassComponents.jar (jar) ; xshift-Sandbox.jar (jar) ; xshift-VorteX.jar (jar) |
| Source files | component.xml |
| Usage | Example with default values |
Inputs| Name | Type | Mandatory | Description |
|---|---|---|---|
| in | CSV | Mandatory | Data to cluster. Columns correspond to variables and rows observations. |
Outputs| Name | Type | Description |
|---|---|---|
| out | CSV | A tab-separated CSV file with a single column "label" containing a cluster label (1-based) for each sample. |
Parameters| Name | Type | Default | Description |
|---|---|---|---|
| columns | string | "" | Comma separated list of column headers of the input file to use in the clustering, or "" to select all the columns. |
| distance | string | "euclidean" | Distance measure for similarity: either "euclidean" or "angular". |
| kFrom | int | 150 | Neighbor samples to use in density estimation, left bound of the range. |
| kStep | int | -5 | Neighbor samples to use in density estimation, step size. |
| kTo | int | 5 | Neighbor samples to use in density estimation, right bound. |
| n | int | -1 | Neighbor clusters to use in mode finding, or "-1" to compute it from the input dimensions. |
Test cases| Test case | Parameters▼ | IN in |
OUT out |
|||
|---|---|---|---|---|---|---|
| case1 | properties | in | out | |||
|
columns = "x(:,1)","x(:,2)", |
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