Fuzzy granular gravitational clustering algorithm for multivariate data

MA Sanchez, O Castillo, JR Castro, P Melin - Information Sciences, 2014‏ - Elsevier
A new method for finding fuzzy information granules from multivariate data through a
gravitational inspired clustering algorithm is proposed in this paper. The proposed algorithm …

Information granule formation via the concept of uncertainty-based information with interval type-2 fuzzy sets representation and Takagi–Sugeno–Kang consequents …

MA Sanchez, O Castillo, JR Castro - Applied Soft Computing, 2015‏ - Elsevier
A technique for forming information granules is shown in this paper. Based on the theory of
uncertainty-based information, an approach toward a general base is given which forms …

The outlier and integrity detection of rail profile based on profile registration

Y Li, X Zhong, Z Ma, H Liu - IEEE Transactions on Intelligent …, 2019‏ - ieeexplore.ieee.org
For rail wear measurement, the process of profile registration is critical. Nowadays, the
widely used method is the rail waist double circle segment method (DCS). However, this …

K-MS: a novel clustering algorithm based on morphological reconstruction

ÉO Rodrigues, L Torok, P Liatsis, J Viterbo, A Conci - Pattern Recognition, 2017‏ - Elsevier
This work proposes a clusterization algorithm called k-Morphological Sets (k-MS), based on
morphological reconstruction and heuristics. k-MS is faster than the CPU-parallel k-Means in …

Modified Hough Transform Based Registration Method for Heavy-haul Railway Rail Profile with Intensive Environmental Noise

Y An, Y Cao, Y Sun, S Su… - IEEE Transactions on …, 2025‏ - ieeexplore.ieee.org
In heavy-haul railway inspections, accurate rail profile registration is essential for assessing
wear and deformation of tracks. In this process, identifying the rail waist arc as key segments …

Automatic network clustering via density-constrained optimization with grou** operator

J Wu, F Wang, P ** clustering algorithm to detect outlier
AE Danganan, AM Sison… - Indonesian Journal of …, 2018‏ - section.iaesonline.com
MCOKE algorithm in identifying data objects to multi cluster is known for its simplicity and
effectiveness. Its drawback is the use of maxdist as a global threshold in assigning objects to …