Granular meta-clustering based on hierarchical, network, and temporal connections
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2016/01/05
-
Journal
-
Indian UGC (journal)
-
Refrences53
-
Citations67
-
Pawan Lingras
-
Farhana Haider
-
Matt Triff
Cite
Lingras, Pawan, et al. “Granular Meta-Clustering Based on Hierarchical, Network, and Temporal Connections”. Granular Computing, vol. 1, no. 1, 2016, pp. 71-92, https://doi.org/10.1007/s41066-015-0007-9.
Lingras, P., Haider, F., & Triff, M. (2016). Granular meta-clustering based on hierarchical, network, and temporal connections. Granular Computing, 1(1), 71-92. https://doi.org/10.1007/s41066-015-0007-9
Lingras P, Haider F, Triff M. Granular meta-clustering based on hierarchical, network, and temporal connections. Granular Computing. 2016;1(1):71-92.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Fuzzy and possibilistic clustering for fuzzy data | Computational Statistics & Data Analysis |
| 57 | 2012 |
| A multiview approach for intelligent data analysis based on data operators | Information Sciences |
| 66 | 2008 |
| 10.1016/S0167-9473(02)00226-8 | 2003 | |||
| 10.1007/BF02511444 | 2002 | |||
| A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters | Journal of Cybernetics | 2,729 | 1973 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| INCM: neutrosophic c-means clustering algorithm for interval-valued data | Granular Computing |
| 1 | 2024 |
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm | International Journal of Computational Intelligence Systems |
| 2023 | |
Fuzzy Clustering-Based Financial Data Mining System Analysis and Design | International Journal of Foundations of Computer Science |
| 2022 | |
| A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process | Applied Intelligence |
| 11 | 2021 |
| Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces | IEEE Transactions on Cybernetics |
| 1 | 2021 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 62
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Application of fuzzy C-means clustering algorithm to spectral features for emotion classification from speech and was published in 2016. The most recent citation comes from a 2024 study titled INCM: neutrosophic c-means clustering algorithm for interval-valued data. This article reached its peak citation in 2016, with 20 citations. It has been cited in 23 different journals, 17% of which are open access. Among related journals, the Information Sciences cited this research the most, with 13 citations. The chart below illustrates the annual citation trends for this article.