Results 1 to 10 of about 636,655 (299)
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
Cluster validity indices for automatic clustering: A comprehensive review [PDF]
HeliyonThe Cluster Validity Index is an integral part of clustering algorithms. It evaluates inter-cluster separation and intra-cluster cohesion of candidate clusters to determine the quality of potential solutions.
Abiodun M. Ikotun +2 more
doaj +2 more sources
Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering
Cumhuriyet Science Journal, 2022 The objective of this study is to reveal the COVID19 characteristics of the countries by using time series clustering. Up to now, various studies have been conducted for similar objectives.
Muhammet Oğuzhan Yalçın +2 more
doaj +1 more source
Genetically Optimized UFLANN for Uncovering Clusters
IEEE Access, 2023 In this work, we present a novel clustering approach which is inheriting the best characteristics of Unsupervised Functional Link Artificial Neural Network (UFLANN) and Genetic Algorithms (GAs) for uncovering clusters embedded in dataset represented ...
Himanshu Dutta +4 more
doaj +1 more source
Applied Sciences, 2022 Analyzing and processing mine wind speed monitoring data is the key to realizing intelligent ventilation and real-time calculation of the ventilation network.
Wei Zhang, Yucheng Li, Junqiao Li
doaj +1 more source
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
Are cluster validity measures (in) valid?
Information Sciences, 2021 Internal cluster validity measures (such as the Calinski-Harabasz, Dunn, or Davies-Bouldin indices) are frequently used for selecting the appropriate number of partitions a dataset should be split into. In this paper we consider what happens if we treat such indices as objective functions in unsupervised learning activities.
Gagolewski, Marek +2 more
openaire +2 more sources
Exploration of Outliers in If-Then Rule-Based Knowledge Bases
Entropy, 2020 The article presents both methods of clustering and outlier detection in complex data, such as rule-based knowledge bases. What distinguishes this work from others is, first, the application of clustering algorithms to rules in domain knowledge bases ...
Agnieszka Nowak-Brzezińska +1 more
doaj +1 more source
Improved cluster validity index for fuzzy clustering
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 +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