OPTICSplot {CluMSID} | R Documentation

## Visualisation of density-based clustering of spectral similarity data

### Description

`OPTICSplot()` performs density-based clustering of spectral similarity data using the OPTICS algorithm like `OPTICStbl` and creates a reachability distance plot.

### Usage

    OPTICSplot(distmat, eps = 10000, minPts = 3, eps_cl = 0.5, ...)

### Arguments

`distmat` | A distance matrix as generated by `distanceMatrix`.
`eps` | OPTICS parameters, see `optics`.
`minPts` | OPTICS parameters, see `optics`.
`eps_cl` | The reachability distance used for cluster determination, see `extractDBSCAN`.
`...` | Additional graphical parameters to be passed to `plot()`

### Details

The function internally uses `optics` and `extractDBSCAN` from the dbscan package.

### Value

A reachability distance plot as visualisation of OPTICS clustering, see codeextractDBSCAN.

### See Also

OPTICStbl

### Examples

    load(file = system.file("extdata",
        "distmat.RData",
        package = "CluMSIDdata"))

    OPTICSplot(distmat[1:50,1:50], eps_cl = 0.7)

[Package CluMSID version 1.2.1 Index]