Results 21 to 30 of about 346,399 (298)
Weighted Cluster Ensemble Based on Partition Relevance Analysis With Reduction Step
IEEE Access, 2020 Over the last decade, the advent of the cluster ensemble framework has enabled more accurate and robust data analysis than traditional single clustering algorithms.
Nejc Ilc
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Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes [PDF]
, 2020 A key issue in cluster analysis is the choice of an appropriate clustering method and the determination of the best number of clusters. Different clusterings are optimal on the same data set according to different criteria, and the choice of such ...
Akhanli, Serhat Emre, Hennig, Christian
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A new exponential cluster validity index using Jaccard distance [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2012 Estimating the optimal number of clusters in an unsupervisedpartitioning of data sets has been a challenging area in recent years.These indices usually use two criteria called compactness andseparation to evaluate the efficiency of the performed ...
Mohamad Hossein Fazel Zarandi +2 more
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Improving clustering with metabolic pathway data [PDF]
, 2014 Background: It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge.
Carrari, Fernando Oscar +4 more
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Boundary Matching and Interior Connectivity-Based Cluster Validity Anlysis
Applied Sciences, 2020 The evaluation of clustering results plays an important role in clustering analysis. However, the existing validity indices are limited to a specific clustering algorithm, clustering parameter, and assumption in practice.
Qi Li +5 more
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Fuzzy cluster validation using the partition negentropy criterion [PDF]
, 2009 The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-04277-5_24Proceedings of the 19th International Conference, Limassol, Cyprus, September 14-17, 2009We introduce the Partition Negentropy Criterion (PNC) for cluster ...
A. Samé +22 more
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Automatic clustering method based on evolutionary optimisation
IET Computer Vision, 2013 How to set the cluster number plays a key role in many clustering applications. To address this issue, this study introduces an automatic clustering method based on evolutionary algorithms (EAs).
Cong Liu, Aimin Zhou, Guixu Zhang
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Model misspecification in peaks over threshold analysis
, 2010 Classical peaks over threshold analysis is widely used for statistical modeling of sample extremes, and can be supplemented by a model for the sizes of clusters of exceedances.
Davison, Anthony C., Süveges, Mária
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Fuzzy clustering with volume prototypes and adaptive cluster merging [PDF]
, 2002 Two extensions to the objective function-based fuzzy clustering are proposed. First, the (point) prototypes are extended to hypervolumes, whose size can be fixed or can be determined automatically from the data being clustered.
Kaymak, U, Setnes, M
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IEEE Access, 2019 Traditional decision trees for fault diagnosis often use an ID3 construction algorithm. For promoting the accuracy and efficiency of decision trees, considering the cluster validity and fault rates, this paper proposes two improved trees, CV-DTs and FR ...
Junyou Shi, Qingjie He, Zili Wang
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