Výsledky vyhľadávania - "Determining the number of clusters in a data set"

Effects of Resampling in Determining the Number of Clusters in a Data Set Autor Dangl, Rainer, Leisch, Friedrich

“…Using cluster validation indices is a widely applied method in order to detect the number of groups in a data set and as such a crucial step in the model…”
Získať plný text

A Graph Theoretic Criterion for Determining the Number of Clusters in a Data Set Autor Krolak-Schwedt, Sabine, Eckes, Thomas

“…This article is concerned with procedures for determining the number of clusters in a data set…”
Získať plný text

A Multicriteria Decision Making Approach for Estimating the Number of Clusters in a Data Set Autor Peng, Yi, Zhang, Yong, Kou, Gang, Shi, Yong

“…Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis…”
Získať plný text

A new validation index for determining the number of clusters in a data set Autor Haojun Sun, Shengrui Wang, Qingshan Jiang

“…Clustering analysis plays an important role in solving practical problems in such domains as data mining in large databases. In this paper, we are interested…”
Získať plný text

An automatic method to determine the number of clusters using decision-theoretic rough set Autor Yu, Hong, Liu, Zhanguo, Wang, Guoyin

“… renewed interest in clustering as a tool for the analysis of large data sets in many fields. Determining the number of clusters in a data set is one of the most challenging and difficult problems in cluster analysis…”
Získať plný text

A new procedure to optimize the selection of groups in a classification tree: Applications for ecological data Autor Guidi, Lionel, Ibanez, Frédéric, Calcagno, Vincent, Beaugrand, Grégory

“…Agglomerative cluster analyses encompass many techniques, which have been widely used in various fields of science. In biology, and specifically ecology,…”
Získať plný text

MCS: A Method for Finding the Number of Clusters Autor Albatineh, Ahmed N., Niewiadomska-Bugaj, Magdalena

“…This paper proposes a maximum clustering similarity (MCS) method for determining the number of clusters in a data set by studying the behavior of similarity indices comparing two (of several) clustering methods…”
Získať plný text

A Novel Approach for Gaussian Mixture Model Clustering Based on Soft Computing Method Autor Gogebakan, Maruf

“…Determining the number of clusters in a data set is a significant and difficult problem in cluster analysis…”
Získať plný text

Applying clustering analysis for discovering time series heterogeneity using Saint Petersburg morbidity rate as an illustration Autor Bure, Vladimir M., Staroverova, Kseniya Yu

Získať plný text

Determination of the Number of Clusters in a Data Set: A Stopping Rule × Clustering Algorithm Comparison Autor Boone, Derrick S

“…The accuracy of “stopping rules” for determining the number of clusters in a data set is examined as a function of the underlying clustering algorithm being used…”
Získať plný text

Interpretable Clustering with the Distinguishability Criterion Autor Turfah, Ali, Wen, Xiaoquan

“… However, validating cluster analysis results and determining the number of clusters in a data set remains an outstanding problem…”
Získať plný text

A New Similarity Measure and Its Use in Determining the Number of Clusters in a Multivariate Data Set Autor Vassiliou, A., Tambouratzis, D. G., Koutras, M. V., Bersimis, S.

“…Krolak-Schwerdt and Eckes [Krolak-Schwerdt, S., Eckes, T. (1992). A graph theoretic criterion for determining the number of cluster in a data set. Multivariate Behav. Res. 27(4):541-565…”
Získať plný text