FLFKMeans-class: An S4 class to represent FLFKMeans

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

An S4 class to represent FLFKMeans

Arguments

object	returns the clustering vector of the nearest crisp clustering.
object	returns matrix containing the memberships for each pair consisting of an observation and a cluster.
object	returns vector with Dunn's partition coefficient F(k) of the clustering, where k is the number of clusters. F(k) is the sum of all squared membership coefficients, divided by the number of observations. Its value is between 1/k and 1. The normalized form of the coefficient is also given. It is defined as (F(k) - 1/k) / (1 - 1/k), and ranges between 0 and 1. A low value of Dunn's coefficient indicates a very fuzzy clustering, whereas a value close to 1 indicates a near-crisp clustering.
object	returns named vector containing the minimal value of the objective function reached by the FANNY algorithm and the relative convergence tolerance tol used.
object	returns integer (<= k) giving the number of crisp clusters; can be less than k, where it's recommended to decrease memb.exp.
object	returns named vector with iterations, the number of iterations needed and converged indicating if the algorithm converged (in maxit iterations within convergence tolerance tol).
object	returns list with silhouette information of the nearest crisp clustering.
object	generating call
object	prints results of agglomerative clustering.
object	plots results of agglomerative clustering.

Slots

centers

A numeric vector containing the number of clusters, say k

AnalysisID

A character output used to retrieve the results of analysis

wideToDeepAnalysisID

A character string denoting the intermediate identifier during widetable to deeptable conversion.

diss

logical TRUE if dissimilarity matrix is supplied to fanny

table

FLTable object given as input on which analysis is performed

results

A list of all fetched components

deeptable

A character vector containing a deeptable(either conversion from a widetable or input deeptable)

temptables

A list of temporary table names used across the results

mapTable

A character string name for the mapping table in-database if input is wide-table.

memb.exp

A number r strictly larger than 1 specifying the membership exponent used in the fit criterion.Default: 2 which is hardwired inside FANNY.

maxit

maximal number of iterations for the FANNY algorithm.

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.