Hard and Soft Cluster Validity Indices


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Documentation for package ‘UniversalCVI’ version 1.1.2

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AccClust Accuracy detection for a clustering result with known classes
CCV.IDX Correlation Cluster Validity (CCV) index
CH.IDX Calinski–Harabasz (CH) index
CSL.IDX Chou-Su-Lai (CSL) index
D10_data D10 Artificial Dataset
D1_data D1 Artificial Dataset
D2_data D2 Artificial Dataset
D3_data D3 Artificial Dataset
D4_data D4 Artificial Dataset
D5_data D5 Artificial Dataset
D6_data D6 Artificial Dataset
D7_data D7 Artificial Dataset
D8_data D8 Artificial Dataset
D9_data D9 Artificial Dataset
DB.IDX Davies–Bouldin (DB) and DB* (DBs) indexes
DI.IDX Dunn index
FzzyCVIs Fuzzy cluster validity indexes used in Wiroonsri and Preedasawakul (2023)
GC.IDX The generalized C index
HF.IDX HF index
Hvalid Wiroonsri(2024) correlation-based cluster validity indices and other well-known cluster validity indices
KPBM.IDX Modified Kernel form of Pakhira-Bandyopadhyay-Maulik (KPBM) index
KWON.IDX KWON index
KWON2.IDX KWON2 index
PB.IDX Point biserial correlation (PB)
PBM.IDX Pakhira-Bandyopadhyay-Maulik (PBM) index
plot_idx Plots for visualizing CVIs
R1_data R1 Artificial Dataset
R2_data R2 Artificial Dataset
R3_data R3 Artificial Dataset
R4_data R4 Artificial Dataset
R5_data R5 Artificial Dataset
R6_data R6 Artificial Dataset
R7_data R7 Artificial Dataset
SF.IDX The score function
STRPBM.IDX Starczewski and Pakhira-Bandyopadhyay-Maulik for crisp clustering indexes
TANG.IDX Tang index
WL.IDX Wu and Li (WL) index
WP.IDX Wiroonsri and Preedasawakul (WP) index
Wvalid Wiroonsri(2024) correlation-based cluster validity indices
XB.IDX Xie and Beni (XB) index