MPaddConfig: Add one or more cluster configurations into a MultiPattern...
In tkonopka/MultiPattern: Multi-Pattern Discovery Framework

The function acceps data.fun or dist.fun as a list. In these cases, the configuration names are given as config.name:[id].

1 2	MPaddConfig(MP, config.name, data.name = names(MP$data)[1], preprocess = NULL, dist.fun = dist.euclidean)

`MP`	existing MP object
`config.name`	character, base name for new subspace/distance
`data.name`	character, name for data component in MP object. Defaults to first dataset declared in MP.
`preprocess`	function or feature set, data preprocessing applied before distance function. Can be a single value or a list. Defaults to NULL, which indicates no preprocessing is required. When a function, the function is applied on the dataset prior to computing dissimilarities. When a vector (character or integer), it is interpreted a feature set of the dataset; dissimilarities are then computed on this subspace of the data.
`dist.fun`	function, distance function. Can be a single value or a list. Defaults to euclidean distance.