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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 2 (1988), S. 371-396 
    ISSN: 0885-6125
    Keywords: Cluster analysis ; conceptual clustering ; analysis of algorithms
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Research in cluster analysishas resulted in a large number of algorithms and similarity measurements for clustering scientific data. Machine learning researchers have published a number of methods for conceptual clustering, in which observations are grouped into clusters that have “good” descriptions in some language. In this paper we investigate the general properties that similarity metrics, objective functions, and concept description languages must have to guarantee that a (conceptual) clustering problem is polynomial-time solvable by a simple and widely used clustering technique, the agglomerative-hierarchical algorithm. We show that under fairly general conditions, the agglomerative-hierarchical method may be used to find an optimal solution in polynomial time.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 2 (1988), S. 371-396 
    ISSN: 0885-6125
    Keywords: Cluster analysis ; conceptual clustering ; analysis of algorithms
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Research in cluster analysis has resulted in a large number of algorithms and similarity measurements for clustering scientific data. Machine learning researchers have published a number of methods for conceptual clustering, in which observations are grouped into clusters that have “good” descriptions in some language. In this paper we investigate the general properties that similarity metrics, objective functions, and concept description languages must have to guarantee that a (conceptual) clustering problem is polynomial-time solvable by a simple and widely used clustering technique, the agglomerative-hierarchical algorithm. We show that under fairly general conditions, the agglomerative-hierarchical method may be used to find an optimal solution in polynomial time.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 116 (1994), S. 0 
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: Near-source data from the nuclear explosion Coalora detonated at Yucca Flats, Nevada Test Site (NTS), are utilized to constrain the seismic-source function. The equivalent seismic source is interpreted in terms of physical processes in the source region with the aid of data from within the explosion's non-linear region. The isotropic, deviatoric and spall contributions are separated and quantified. Standard spectral interpretations of the radiated wavefield for source parameterization are contrasted with complete waveform modelling with moment tensor determination. Individual waveform spectra (source-receiver offsets 〈 2 km) can be interpreted in terms of an isotropic source model, which is in agreement with a Mueller-Murphy model, including f−2 high-frequency decay and source corner frequency of 1.8 Hz. The deviatoric component of the moment tensor is a factor of 5–10 times smaller than the isotropic component. Deviatoric source radius, as estimated from the spectral data, is 125 m, smaller than the equivalent elastic source radius, which is bounded between 133 and 202 m. Stress drop estimated with the Brune source model is 45 bars with an average slip of 17 cm. Moment tensor inversion produces an isotropic source strength of 8 × 1020 dyne cm, while scalar moments from the spectral interpretation are a factor of 2.5 larger. This difference is attributed to the application of whole-space propagation path corrections with a free-surface amplification to the spectral interpretation. The spall source is longer period and delayed in time from the initial explosion. Its contribution to the diagonal elements of the moment tensor is dominant on the Mzz component, a factor of 3 larger than the Myy and Mxx components. Spall source strength from waveform inversion is within a factor of 2 of forward models developed from acceleration data within the spall zone. It is longer in duration than the forward prediction, reflecting the effect of a quasi-point source assumption in the forward model. Complex propagation effects extend in time and homogenize the data beyond 2 km as exemplified by wave trains at 5 km that are 20 s in duration and similarity of radial, vertical and transverse acceleration spectra. In contrast, observations at 2 km or less are short in duration with strong differences between transverse and radial-vertical spectra. These apparent propagation path effects suggest that source biases can develop at ranges as close as 2–5 km.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Expert systems 2 (1985), S. 0 
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Abstract: GTE's Compass (Central Office Maintenance Printout Analysis and Suggestion System) is an expert system that aids in the maintenance of a telephone switching system. It analyzes maintenance printouts of telephone company central office switching equipment and suggests maintenance actions to be performed. The results from several field trials indicate that the current version of Compass performs well in identifying system faults and in suggesting corresponding maintenance actions. An expanded version of the expert system is under development while the present version is being put into field use.
    Type of Medium: Electronic Resource
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