FindDistm {ADPclust} | R Documentation |

## Find the distance matrix from data.

### Description

A wrapper of the dist() method, with the option to rescale the data with standard deviation of each dimension before calculating the distance matrix. NOTE: If fdelta='mnorm' is passed to adpclust(), then the distm is calculated from rescaled data internally, i.e. distm <- FindDistm(x, normalize = TRUE).

### Usage

```
FindDistm(x, normalize = FALSE, method = "euclidean")
```

### Arguments

`x` |
data |

`normalize` |
boolean. Normalize data before calculating distance? |

`method` |
passed to 'dist()' |

### Value

distance matrix of class dist.

### Author(s)

Ethan Xu

[Package

*ADPclust*version 0.7 Index]