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Feature-Weighted Fuzzy Clustering Methods: An Experimental Review
Soft clustering, a widely utilized method in data analysis, offers a versatile and flexible
strategy for grou** data points. Most soft clustering algorithms assume that all the features …
strategy for grou** data points. Most soft clustering algorithms assume that all the features …
A new semi-supervised fuzzy K-means clustering method with dynamic adjustment and label discrimination
H Zhu, W ** data classification boundaries and provide detailed …
[كتاب][B] Intelligent Information Processing with Matlab
X Zhang, X Zhang, W Wang - 2023 - Springer
The speed of modern science and technology development is becoming faster and faster.
The amount of new science and technology knowledge and information is rapidly …
The amount of new science and technology knowledge and information is rapidly …
[HTML][HTML] Interdependence analysis on heterogeneous data via behavior interior dimensions
Interdependent dimensions including categorical and continuous variables can be seen
commonly as heterogeneous behavioral data in the real world. Mixed-type objects are more …
commonly as heterogeneous behavioral data in the real world. Mixed-type objects are more …
[PDF][PDF] Enhancing automated defect detection through sequential clustering and classification: An industrial case study using the Sine-Cosine Algorithm, Possibilistic …
ABSTRACT ARTICLEINFO Most existing inspection models solely classify defects as either
good or bad, focusing primarily on separating flaws from perfect ones. The sequential …
good or bad, focusing primarily on separating flaws from perfect ones. The sequential …
Feature-weighted fuzzy clustering methods:: An experimental review
A Golzari Oskouei, N Samadi, S Khezri… - 2025 - dl.acm.org
Soft clustering, a widely utilized method in data analysis, offers a versatile and flexible
strategy for grou** data points. Most soft clustering algorithms assume that all the features …
strategy for grou** data points. Most soft clustering algorithms assume that all the features …
Testing and Evaluation of Evolutionary Computing
X Zhang, X Zhang, W Wang - Intelligent Information Processing with …, 2023 - Springer
Evolutionary computing is a collection of evolutionary algorithms. Different algorithms have
different properties. For example, genetic algorithm is suitable for discrete optimization …
different properties. For example, genetic algorithm is suitable for discrete optimization …
Mixed Data Type Analysis: A Systematic Literature Review
This research aims to determine the direction of research in the analysis of mixed data types.
The world is currently filled with increasingly diverse data, especially in terms of data types …
The world is currently filled with increasingly diverse data, especially in terms of data types …