Skip to contents

fdars 0.4.0

Reference
- Getting Started
- Introduction to fdars
- Custom Plotting with ggplot2
- Preprocessing
- Introduction to Smoothing
- Working with Derivatives
- Data
- Simulation Toolbox
- Irregular Sampling
- Decomposition
- Functional PCA (FPCA)
- Basis Representation
- Transformation
- Andrews Curves
- Ranking & Centrality
- Depth Functions
- Streaming Depth
- Proximity
- Distance Metrics
- Methods
- Elastic Alignment
- Landmark Registration
- TSRVF (Tangent Space)
- Guides
- Comparing Alignment Methods
- Inference
- Tolerance Bands
- Equivalence Testing
- Unsupervised
- Clustering
- Outlier Detection
- Supervised
- Regression
- Time Series
- Seasonal Analysis
- Covariance Functions

Functional k-means clustering

Source: R/extendr-wrappers.R

kmeans_fd.Rd

Functional k-means clustering

Usage

kmeans_fd(data, argvals, nclusters, max_iter, nstart, metric, seed)

Developed by Simon Müller.

Site built with pkgdown 2.2.0.