Table 1.
List of mathematical notations.
Table 2.
Comparison of some popular fuzzy co-clustering algorithms.
Fig 1.
The flowchart of the proposed algorithm.
Table 3.
Dataset details.
Fig 2.
Clustering performance comparisons of FCM, FCCM, RFCC, FCCI and ibFCC in terms of F-Measure and entropy on the six subsets.
(a) F-Measure values of FCM, FCCM, RFCC, FCCI and ibFCC (b) Entropy values of FCM, FCCM, RFCC, FCCI and ibFCC.
Fig 3.
Clustering performance comparisons of FCM, FCCM, RFCC, FCCI and ibFCC in terms of clustering score on the six subsets.
Fig 4.
Comparisons of the five approaches on the 6 subsets in terms of p-value.
(a) Oh1(b) Oh2(c) LC(d) BT(e) Card(f) MPE.
Fig 5.
Document clusters distribution for three subsets with less clusters.
(a) LC(b) Oh1(c) BT.
Fig 6.
Comparison of our approaches and counterpart algorithms in terms of empty cluster number.
Table 4.
Comparison of our approach and counterpart algorithms in terms of running time (s).