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CLUSTER-a package for cluster analysis
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988The use of different measures of similarity, clusterization criteria, and theories in cluster analysis makes it difficult to compare interpretations of a single data set. The authors present some methods as well as software tools for comparison of cluster partitions.
I. Popchev, V. Peneva
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CLUSTER: A SOFTWARE SYSTEM FOR EPIDEMIOLOGIC CLUSTER ANALYSIS
Statistics in Medicine, 1996A software package for cluster analysis was developed that incorporates 12 methods to analyse residence and time data, and morbidity or mortality rates. The Knox, Barton, Chen and Ohno methods of the software are illustrated with data for 123 cancer cases reported by a citizen requesting a cluster investigation.
H I, Hall, C V, Lee, W E, Kaye
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A formalization of cluster analysis
Pattern Recognition, 1973Abstract This paper presents a formalization of the concept of cluster analysis. It begins with an intuitive description of clustering, and discusses the separation of the measurement problem from the clustering problem. It develops the nature of the elements to be clustered, the nature of the possible clusters, and the nature of the clustering ...
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Analytical Chemistry, 1999
This article describes how the concept of multiresolution is used with cluster analysis of spectral data. Multiresolution analysis progressively increases the resolution of a spectrum profile by adding levels of details contained in scales obtained from a discrete wavelet transform.
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This article describes how the concept of multiresolution is used with cluster analysis of spectral data. Multiresolution analysis progressively increases the resolution of a spectrum profile by adding levels of details contained in scales obtained from a discrete wavelet transform.
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Biometrika, 1978
A parametric model for partitioning individuals into mutually exclusive groups is given. A Bayesian analysis is applied and a loss structure imposed. A model-dependent definition of a similarity inatrix is proposed and estimates based on this matrix are justified in a decision-theoretic framework.
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A parametric model for partitioning individuals into mutually exclusive groups is given. A Bayesian analysis is applied and a loss structure imposed. A model-dependent definition of a similarity inatrix is proposed and estimates based on this matrix are justified in a decision-theoretic framework.
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On a Method of Cluster Analysis
1984zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Analysis of Clustering Algorithms
2016Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many ...
Iryna Zheliznyak +2 more
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Cluster From Cluster: A Quantitative Approach to Magic Gold Nanoclusters [Au25(SR)18]−
Angewandte Chemie - International Edition, 2021Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan
exaly