Comparison of Fuzzy Clustering Methods and Their Applications to Geophysics Data
المؤلفون المشاركون
Miller, David J.
Cannon, Kenneth P.
Cannon, Molly Boeka
Nelson, Carl A.
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2009، العدد 2009 (31 ديسمبر/كانون الأول 2009)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2010-04-11
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Fuzzy clustering algorithms are helpful when there exists a dataset with subgroupings of points having indistinct boundaries and overlap between the clusters.
Traditional methods have been extensively studied and used on real-world data, but require users to have some knowledge of the outcome a priori in order to determine how many clusters to look for.
Additionally, iterative algorithms choose the optimal number of clusters based on one of several performance measures.
In this study, the authors compare the performance of three algorithms (fuzzy c-means, Gustafson-Kessel, and an iterative version of Gustafson-Kessel) when clustering a traditional data set as well as real-world geophysics data that were collected from an archaeological site in Wyoming.
Areas of interest in the were identified using a crisp cutoff value as well as a fuzzy α-cut to determine which provided better elimination of noise and non-relevant points.
Results indicate that the α-cut method eliminates more noise than the crisp cutoff values and that the iterative version of the fuzzy clustering algorithm is able to select an optimum number of subclusters within a point set (in both the traditional and real-world data), leading to proper indication of regions of interest for further expert analysis
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Miller, David J.& Nelson, Carl A.& Cannon, Molly Boeka& Cannon, Kenneth P.. 2010. Comparison of Fuzzy Clustering Methods and Their Applications to Geophysics Data. Applied Computational Intelligence and Soft Computing،Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-505488
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Miller, David J.…[et al.]. Comparison of Fuzzy Clustering Methods and Their Applications to Geophysics Data. Applied Computational Intelligence and Soft Computing No. 2009 (2009), pp.1-16.
https://search.emarefa.net/detail/BIM-505488
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Miller, David J.& Nelson, Carl A.& Cannon, Molly Boeka& Cannon, Kenneth P.. Comparison of Fuzzy Clustering Methods and Their Applications to Geophysics Data. Applied Computational Intelligence and Soft Computing. 2010. Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-505488
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-505488
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر