Cluster Center Initialization for Fuzzy K-Modes Clustering Using Outlier Detection Technique
Y Sha, J Du, Z Yang, F Jiang - Chinese Conference on Pattern …, 2024 - Springer
The fuzzy K-modes clustering algorithm is an extension of the fuzzy K-means clustering
algorithm, which can handle massive categorical data. However, the quality of the initial …
algorithm, which can handle massive categorical data. However, the quality of the initial …
[PDF][PDF] Emerging Information Technology Trends
FJ García-Peñalvo - 2018 - researchgate.net
Recently from JITR scope, the book “Global Implications of Emerging Technology Trends”
has been published (García-Peñalvo, 2018b). It is focused on the Information Technology …
has been published (García-Peñalvo, 2018b). It is focused on the Information Technology …
Research on improvement of fuzzy K-modes clustering algorithm for categorical data
J Wang, L Yu, P Si, G Wu… - … Conference on Image …, 2024 - spiedigitallibrary.org
Cluster analysis is an important method in data mining and has been widely used in various
aspects of real life. The Fuzzy K-Modes algorithm is one of the most commonly used …
aspects of real life. The Fuzzy K-Modes algorithm is one of the most commonly used …
[PDF][PDF] A space-structure based dissimilarity measure for categorical data
The development of analysis methods for categorical data begun in 90's decade, and it has
been booming in the last years. On the other hand, the performance of many of these …
been booming in the last years. On the other hand, the performance of many of these …