INCM: neutrosophic c-means clustering algorithm for interval-valued data
H Qiu, Z Liu, S Letchmunan - Granular Computing, 2024 - Springer
Data clustering has emerged as a prospective technique for analyzing interval-valued data
and has found extensive applications across various practical domains. However, the …
and has found extensive applications across various practical domains. However, the …
[HTML][HTML] Correlation-based hierarchical clustering of time series with spatial constraints
A Benevento, F Durante - Spatial Statistics, 2024 - Elsevier
Correlation-based hierarchical clustering methods for time series typically are based on a
suitable dissimilarity matrix derived from pairwise measures of association. Here, this …
suitable dissimilarity matrix derived from pairwise measures of association. Here, this …
A new distance between rankings
This paper analyzes the behavior of the well-known Spearman's footrule distance (F-
distance) to measure the distance between two rankings over the same set of objects. We …
distance) to measure the distance between two rankings over the same set of objects. We …
A Novel Fuzzy Clustering Method Based on Topological Connected Component
B Zheng, L Ma - IEEE Transactions on Fuzzy Systems, 2023 - ieeexplore.ieee.org
With the development of fuzzy set theory, the clustering methods widely used in various
fields can be divided into hard clustering methods and fuzzy clustering methods. Fuzzy …
fields can be divided into hard clustering methods and fuzzy clustering methods. Fuzzy …