initData.details: To initialize data, hierarchical correlation algorithm.
In LearnClust: Learning Hierarchical Clustering Algorithms
Description
Usage
Arguments
Details
Value
Author(s)
Examples
View source: R/initData.details.R
Description
To explain how to initialize data, hierarchical correlation algorithm.
Usage
1
Arguments
data
is a data frame with the main data.
Details
This function is part of the hierarchical correlation method. The function initializes data transforming each row from the data frame into
a matrix with every row elements.
Value
A cluster list. Initializing data. Explanation.
Author(s)
Roberto Alcántara roberto.alcantara@edu.uah.es
Juan José Cuadrado jjcg@uah.es
Universidad de Alcalá de Henares
Examples
1
2
3
4
5
data <- matrix(c(1,2,1,4,5,1,8,2,9,6,3,5,8,5,4),ncol= 3)
dataFrame <- data.frame(data)
initData.details(dataFrame)
LearnClust documentation built on Nov. 30, 2020, 1:09 a.m.
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Description Usage Arguments Details Value Author(s) Examples
View source: R/initData.details.R
Description
To explain how to initialize data, hierarchical correlation algorithm.
Usage
1 |
Arguments
data |
is a data frame with the main data. |
Details
This function is part of the hierarchical correlation method. The function initializes data transforming each row from the data frame into
a matrix with every row elements.
Value
A cluster list. Initializing data. Explanation.
Author(s)
Roberto Alcántara roberto.alcantara@edu.uah.es
Juan José Cuadrado jjcg@uah.es
Universidad de Alcalá de Henares
Examples
1 2 3 4 5 | data <- matrix(c(1,2,1,4,5,1,8,2,9,6,3,5,8,5,4),ncol= 3)
dataFrame <- data.frame(data)
initData.details(dataFrame)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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