Improved cluster validity index for fuzzy clustering [PDF]
Electronics Letters, 2021 An improved cluster validity index for fuzzy clustering that is able to overcome three intrinsic drawbacks in conventional cluster validity indexes is proposed.
Soon Hak Kwon, Jihong Kim, Seo Ho Son
doaj +2 more sources
Cluster Validity Index for Uncertain Data Based on a Probabilistic Distance Measure in Feature Space [PDF]
Sensors, 2023 Cluster validity indices (CVIs) for evaluating the result of the optimal number of clusters are critical measures in clustering problems. Most CVIs are designed for typical data-type objects called certain data objects.
Changwan Ko +3 more
doaj +2 more sources
A Cluster Validity Index-Based Objective Criteria for Aesthetic Evaluation of Periorbital Treatment [PDF]
Clinical, Cosmetic and Investigational Dermatology, 2023 Çağlar Cengizler,1,* Ayse Gul Kabakci,2,* Dursun Murat Bozkır,3,* Dilek Sire Eren,4,* Memduha Gülhal Bozkır2,* 1Biomedical Device Technology Program, Vocational School of Health Services, Izmir Democracy University, Izmir, Turkey; 2Department
Cengizler Ç +4 more
doaj +2 more sources
Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets [PDF]
Remote Sensing, 2016 The number of clusters (i.e., the number of classes) for unsupervised classification has been recognized as an important part of remote sensing image clustering analysis.
Huapeng Li +4 more
doaj +5 more sources
Fuzzy Clustering Validity Index Combined with Multi-objective Optimization Algorithm and Its Application [PDF]
Jisuanji kexue, 2021 Fuzzy clustering method can analyze complex data sets more effectively.Because there are many kinds of fuzzy clustering algorithms and the clustering results will change with the number of input clusters,the results of fuzzy clustering algorithm are not ...
CUI Guo-nan, WANG Li-song, KANG Jie-xiang, GAO Zhong-jie, WANG Hui, YIN Wei
doaj +1 more source
Barekeng, 2023 Cluster analysis is an analysis that is useful in summarizing data by grouping objects based on certain similarity characteristics. One of the group analysis is Fuzzy Gustafson-Kessel (FGK) which is the development of the Fuzzy C-Means (FCM) method.
Yunda Sasha Paradilla +2 more
doaj +1 more source
Determining parameters of DBSCAN Algorithm in Dynamic Environments Automatically using Dynamic Multi-objective Genetic Algorithm [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Spatio-temporal (ST) clustering is a relatively new field in data mining with great popularity, especially in geographic information. Moving objects are a type of ST data where the available information on these objects includes their last position.
Z. Falahiazar, A.R. Bagheri, M. Reshadi
doaj +1 more source
CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering
SoftwareX, 2023 We present CVIK, a Matlab-based toolbox for assisting the process of cluster analysis applications. This toolbox aims to implement 28 cluster validity indices (CVIs) for measuring clustering quality available to data scientists, researchers, and ...
Adán José-García +1 more
doaj +1 more source
Volume and Surface Area-Based Cluster Validity Index
IEEE Access, 2020 Cluster validity index plays an important role in assessing the quality of clustering results. However, most of the existing validity indices take a trial-and-error strategy, and their correctness depend on not only the measurements of intra- and inter ...
Qi Li, Shihong Yue, Mingliang Ding
doaj +1 more source
Trajectory Clustering-Based Anomaly Detection in Indoor Human Movement
Sensors, 2023 Human movement anomalies in indoor spaces commonly involve urgent situations, such as security threats, accidents, and fires. This paper proposes a two-phase framework for detecting indoor human trajectory anomalies based on density-based spatial ...
Doi Thi Lan, Seokhoon Yoon
doaj +1 more source