attributes.simultaneous-class {simuclustfactor}

Simultaneous results attributes

Description

Simultaneous results attributes

Slots

U_i_g0

matrix. Initial object membership function matrix

B_j_q0

matrix. Initial factor/component matrix for the variables

C_k_r0

matrix. Initial factor/component matrix for the occasions

U_i_g

matrix. Final/updated object membership function matrix

B_j_q

matrix. Final/updated factor/component matrix for the variables

C_k_r

matrix. Final/updated factor/component matrix for the occasions

Y_g_qr

matrix. Derived centroids in the reduced space (data matrix)

X_i_jk_scaled

matrix. Standardized dataset matrix

BestTimeElapsed

numeric. Execution time for the best iterate

BestLoop

numeric. Loop that obtained the best iterate

BestIteration

numeric. Iteration yielding the best results

Converged

numeric. Flag to check if algorithm converged for the K-means

nConverges

numeric. Number of loops that converged for the K-means

TSS_full

numeric. Total deviance in the full-space

BSS_full

numeric. Between deviance in the reduced-space

RSS_full

numeric. Residual deviance in the reduced-space

PF_full

numeric. PseudoF in the full-space

TSS_reduced

numeric. Total deviance in the reduced-space

BSS_reduced

numeric. Between deviance in the reduced-space

RSS_reduced

numeric. Residual deviance in the reduced-space

PF_reduced

numeric. PseudoF in the reduced-space

PF

numeric. Weighted PseudoF score

Labels

integer. Object cluster assignments

Fs

numeric. Objective function values for the KM best iterate

Enorm

numeric. Average l2 norm of the residual norm.