R: Hard and Soft Cluster Validity Indices

# Hard and Soft Cluster Validity Indices

## Documentation for package ‘UniversalCVI’ version 1.4.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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
SH.IDX | Silhouette index
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