sits_metrics_by_cluster

<p>Tibble containg information about evaluation of samples.</p>

data.tb

<p>This function extracts metrics about the clusters calculating
the percentage of mixture between a cluster and others.</p>

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

Pedro Andrade

sits

Satellite Image Time Series Analysis

Rolf Simoes

Gilberto Camara

Victor Maus

Alexandre Carvalho

Lorena Santos

Gilberto Queiroz

Alber Sanchez

Luiz Assis

Adeline Marinho

sits_metrics_by_cluster function

Metrics by cluster — sits_metrics_by_cluster

Metrics by cluster

sits_metrics_by_cluster: Metrics by cluster

Description

Usage

Arguments

Value