OPTICStbl {CluMSID} | R Documentation

## Density-based clustering of spectral similarity data

### Description

`OPTICStbl()` performs density-based clustering of spectral similarity data using the OPTICS algorithm.

### Usage

    OPTICStbl(distmat, eps = 10000, minPts = 3, eps_cl = 0.5)

### Arguments

`distmat` | A distance matrix as generated by `distanceMatrix`.
`eps, minPts` | OPTICS parameters, see `optics`.
`eps_cl` | The reachability distance used for cluster determination, see `extractDBSCAN`.

### Details

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

### Value

A `data.frame` with feature name, cluster ID and OPTICS order for each feature in `distmat`.

### See Also

OPTICSplot

### Examples

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

    my_OTPICStbl <- OPTICStbl(distmat[1:50,1:50], eps_cl = 0.7)

[Package CluMSID version 1.2.1 Index]