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首页> 外文会议>International Conference on Geologic Problem Solving with Microfossils >APPLICATION OF FUZZY C-MEANS CLUSTERING TO PALEOENVIRONMENTALANALYSIS: EXAMPLE FROM THE JURASSIC, CENTRAL NORTH SEA, UK
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APPLICATION OF FUZZY C-MEANS CLUSTERING TO PALEOENVIRONMENTALANALYSIS: EXAMPLE FROM THE JURASSIC, CENTRAL NORTH SEA, UK

机译：模糊C-MERIAL聚类在古肠植物分析中的应用：来自侏罗纪，中央北海，英国的示例

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Fuzzy c-means clustering (FCM) is an exploratory data-analysis method that identifies groups of samples with similar compositions. In spite of FCM being well established in the field of pattern recognition, to date it has had little application in biostratigraphy. In contrast to the hard clustering methods commonly used in biostratigraphy, FCM has the advantage that it can accommodate mixtures and / or gradations between clusters. This is an important feature for biostratigraphical data analysis because such data sets often include samples that are transitional between two or more "pure" faunal or floral assemblages. As an evaluation of FCM we used it to resolve Jurassic miospore and pollen biofacies from the Pentland, Fulmar, and Heather formations from two closely spaced wells in the Hawkins Field, Central North Sea, UK. These data were chosen because they contain a flora for which there is substantial paleoecological literature and, as such, would provide a suitable evaluation of the application of the FCM method to industrial biostratigraphical data. The results demonstrated that FCM could extract floral associations that were relatable to stratigraphy and sea-level changes. Fuzzy c-means produced a five-cluster (i.e., five assemblages) solution. We named each assemblage after the taxon that was dominant in the assemblage. The Cyathidites assemblage is stratigraphically distinct and restricted entirely to the nonmarine Pentland Formation. The remaining four assemblages (Perinopollenites elatoides, Lycopodiumsporites, Cerebropollenites mesozoicus, and Callialasporites) are ecologically distinct and occur primarily in the Fulmar and Heather formations. The P. elatoides assemblage is representative of lowstand regression. The C. mesozoicus assemblage is indicative of warmer, drier, possibly semiarid or seasonally arid climatic conditions. The Lycopodiumsporites assemblage is transitional between cooler, wetter to warmer, drier climatic conditions with the floral dominance of P. elatoides being replaced by C. mesozoicus. The Callialasporites assemblage is interpreted as representing warm, wet seasonal climatic conditions, possibly a back-mangrove biotope, with its maximum development occurring slightly above the maximum flooding surface. Ultimately, this succession of curves was used as a proxy for sea-level changes in the study area, enabling the recognition of maximum flooding surfaces, genetic sequences, and parasequences that improved inter-well correlation.
机译：模糊C-均值聚类（FCM）是探索性数据分析方法，该方法具有类似组成的样本的识别组。尽管FCM被很好地建立在模式识别领域，迄今为止它已在生物地层学的小应用程序。与在生物地层中常用的硬聚类方法，FCM具有可以容纳簇之间的混合物和/或灰度的优点。这是biostratigraphical数据分析的一个重要的功能，因为这样的数据集通常包括两个或更多的“纯粹”的动物群或花组合之间的过渡样品。作为FCM的评估，我们用它来从相邻双口井在霍金斯场，中央北海，英国的彭特兰，海燕和希瑟编队解决侏罗纪miospore和花粉生物相。这些数据被选择，因为它们含有植物对于其存在实质性的古生态文献，并且同样地，将提供FCM方法工业biostratigraphical数据的应用的合适的评估。结果表明，FCM可提取进行了听上去很像对地层和海平面变化花卉协会。模糊C-均值产生的五簇（即，5个组合）溶液。我们叫这是在组合优势类群后每个组合。所述Cyathidites组合是地层不同的且完全限制在陆相潘特兰德形成。剩下的四个组合（Perinopollenites elatoides，Lycopodiumsporites，Cerebropollenites mesozoicus，和Callialasporites）在生态不同且在海燕和石楠地层主要发生。该P. elatoides组合为代表低位回归。所述C. mesozoicus组合指示温暖干燥，可能半干旱或季节性干旱气候条件。所述Lycopodiumsporites组合是冷却器，湿润剂之间的过渡较暖，与P. elatoides的花香主导地位干燥器气候条件被C. mesozoicus取代。所述Callialasporites组合被解释为代表温暖潮湿季节气候条件，可能背红树群落生境，以其最大发展发生略微的最大洪泛表面之上。最终，这一连串的曲线用作研究区海平面变化的代理，使得最大洪泛面，基因序列，和准层序的是改进的井间的相关性的识别。

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