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Non-uniqueness And Inversions In Cluster Analysis Pdf

non-uniqueness and inversions in cluster analysis pdf

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Published: 18.04.2021

In data mining and statistics , hierarchical clustering also called hierarchical cluster analysis or HCA is a method of cluster analysis which seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two types: [1]. In general, the merges and splits are determined in a greedy manner.

Hierarchical clustering algorithms can be characterized as greedy Horowitz and Sahni, A sequence of irreversible algorithm steps is used to construct the desired data structure. Assume that a pair of clusters, including possibly singletons, is merged or agglomerated at each step of the algorithm. One could say with justice that Sibson , Rohlf and Defays are part of the prehistory of clustering.

Non-uniqueness and Inversions in Cluster Analysis

Kieu, Duy Thong, and Anton Kepic. In this research we use the fuzzy c-means FCM clustering technique to add petrophysical information from borehole data to model-based seismic impedance inversion. Model based inversion is a common seismic impedance inversion algorithm because it integrates low frequency data from boreholes and is robust. However, beyond the borehole the solutions are as non-unique as many general geophysical inversion problems and output depends greatly on the initial model. Our approach incorporates prior information from well log or core measurement to build a more realizable earth model by using FCM clustering on the petrophysical measurements. This approach tends to produce earth models with less parameter variation and is well suited for crystalline, or hard rock, inversion where there are only a few distinctive rocks units, but considerable structural complexity.

Hierarchical clustering

Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Inversions are one type of structural variants linked to phenotypic differences and adaptation in multiple organisms.

Evolutionary and functional impact of common polymorphic inversions in the human genome

3D Modeling and Inversion of Gravity Data in Exploration Scale

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Morgan and A. Morgan , A. Ray Published Mathematics Applied statistics. Care must be exercised when hierarchical methods of cluster analysis are used.

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The gravity method has been widely used for detecting the subsurface density anomaly and geological structures. The effective and successful application of gravity methods depends on the fast forward modeling and stable inversion tools to image the subsurface density structures. In this chapter, we will review the applications and developments of gravity method. We starts form the basic theory for gravity field and the scalar gravity potential and introduce the closed form of the solution for the gravity field caused by a density anomaly. Different gravity data forward modeling and inversion techniques will be introduced in this chapter with their application in petroleum reconnaissance.


Care must be exercised when hierarchical methods of cluster analysis are used. Insufficient emphasis on the problems of non-uniqueness and of inversion is PDF. Alert. Research Feed. Cluster Instability as a Result of Data Input Order.


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Nonuniqueness in traveltime tomography: Ensemble inference and cluster analysis

2 Comments

  1. Dominique U.

    25.04.2021 at 23:44
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    27.04.2021 at 10:46
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    Mit Methoden der Angewandten Geophysik werden zukunftsgerichtete Fragestellungen von gesellschaftlicher Bedeutung untersucht.

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