# CSlideCluster: Slide-Level Time Series Clustering In funtimes: Functions for Time Series Analysis

## Description

Cluster time series at a slide level, based on Algorithm 1 of \insertCiteCiampi_etal_2010;textualfuntimes.

## Usage

 `1` ```CSlideCluster(X, Alpha = NULL, Beta = NULL, Delta = NULL, Theta = 0.8) ```

## Arguments

 `X` a matrix of time series observed within a slide (time series in columns). `Alpha` lower limit of the time series domain. Default is `quantile(X)[2] -` `1.5*(quantile(X)[4] - quantile(X)[2])`. `Beta` upper limit of the time series domain. Default is `quantile(X)[2] +` `1.5*(quantile(X)[4] - quantile(X)[2])`. `Delta` closeness parameter, a real value in [0,1]. Default is `0.1*(Beta - Alpha)`. `Theta` connectivity parameter, a real value in [0,1]. Default is 0.8.

## Value

A vector of length `ncol(X)` with cluster labels.

## Author(s)

Vyacheslav Lyubchich

## References

\insertAllCited

`CSlideCluster`, `CWindowCluster`, and `BICC`
 ```1 2 3``` ```set.seed(123) X <- matrix(rnorm(50), 10, 5) CSlideCluster(X) ```