Results 331 to 340 of about 6,328,755 (391)

Finding Groups in Data: An Introduction to Cluster Analysis

, 1990
1. Introduction. 2. Partitioning Around Medoids (Program PAM). 3. Clustering large Applications (Program CLARA). 4. Fuzzy Analysis. 5. Agglomerative Nesting (Program AGNES). 6. Divisive Analysis (Program DIANA). 7.
L. Kaufman, P. Rousseeuw
semanticscholar   +1 more source

A dendrite method for cluster analysis

, 1974
A method for identifying clusters of points in a multidimensional Euclidean space is described and its application to taxonomy considered. It reconciles, in a sense, two different approaches to the investigation of the spatial relationships between the ...
T. Caliński, J. Harabasz
semanticscholar   +1 more source

Fuzzy Model Identification Based on Cluster Estimation

Journal of Intelligent & Fuzzy Systems, 1994
We present an efficient method for estimating cluster centers of numerical data. This method can be used to determine the number of clusters and their initial values for initializing iterative optimization-based clustering algorithms such as fuzzy C ...
S. Chiu
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How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis

Computer/law journal, 1998
We consider the problem of determining the structure of clustered data, without prior knowledge of the number of clusters or any other information about their composition.
C. Fraley, A. Raftery
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A full coupled‐cluster singles and doubles model: The inclusion of disconnected triples

, 1982
The coupled‐cluster singles and doubles model (CCSD) is derived algebraically, presenting the full set of equations for a general reference function explicitly in spin–orbital form. The computational implementation of the CCSD model, which involves cubic
G. D. Purvis, R. Bartlett
semanticscholar   +1 more source

Reorganization of clusters in cluster-cluster-aggregation

AIP Conference Proceedings, 2000
X-ray microscopy and scattering experiments give different experimental results when determining the fractal dimension of colloidal clusters. A two dimensional simulation model is presented to describe reorganization of clusters during the aggregation process. Considering this reorganization gives a rapidly increasing fractal dimension from d=1.53 to d=
O. Vormoor, J. Thieme
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When is a cluster not a cluster?

Clinical Linguistics & Phonetics, 2001
L'A. presente les resultats d'une etude visant a evaluer, dans le cadre de l'acquisition du langage, la these de J. Archibald (1998) selon laquelle la presence d'un ensemble constitue d'une consonne et d'une liquide implique la presence d'un contraste sous-jacent entre /l/ et /r/. Ceci permet certaines predictions concernant les liquides et les types d'
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Clustering and Clusters [PDF]

, 1978
When one is lecturing in a centre for interdisciplinary research, it is, I imagine, appropriate to start by emphasizing the interdisciplinary character of the topic one is going to discuss. In my case this does not present any difficulty. Clustering is a pictorial term for positive correlations in an ensemble of randomly distributed bodies or events ...
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The Quantum Theory of Fields: THE CLUSTER DECOMPOSITION PRINCIPLE

, 1995
Up to this point we have not had much to say about the detailed structure of the Hamiltonian operator H . This operator can be defined by giving all its matrix elements between states with arbitrary numbers of particles.
S. Weinberg
semanticscholar   +1 more source

To Cluster or Not to Cluster

Science's STKE, 2007
The PDZ domain is a frequently occurring interaction domain in eukaryotic proteins that binds to the C termini of target proteins. PDZ domains have been thought to cluster into functional classes, each with distinct sequence binding preferences. Using a combination of experimental data and modeling, Stiffler et al .
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