A novel approach to clustering: Morphology Based Clustering

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 940

فایل این مقاله در 16 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

COMCONF01_439

تاریخ نمایه سازی: 8 آذر 1394

چکیده مقاله:

Clustering is an essential technique in some field of researches such as pattern recognition and machine learning. Based on variety of datasets and applications, a lot of clustering algorithms have been proposed. One of the differences between them is using distinct distance functions. Distance functions are the core of clustering algorithms and play the main role in organizing data into homogeneous groups. As a matter of fact, choosing the proper distance function is an open problem yet. In this paper, we propose a novel approach to Morphology Based Clustering (MBC). MBC employs dilation operator instead of any other distance function. Finally MBC was tested by two different datasets. Results show that MBC is able to find irregular shaped clusters and it is not sensitive to noise and outliers. The number of clusters and their specifications is alike after repetition of MBC algorithm in data sets

نویسندگان

Alireza Hakimi

International campus, Department of Computer Engineering, University of Isfahan, Isfahan, Iran

Peyman Adibi

Department of Computer Engineering, Faculty of Engineering, University of Isfahan, Isfahan, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • University, Australia, 2001. [11] ...
  • Processing, vol. 36, no.1, pp. 111-126, 1994. [16] ...
  • Jean Serra, ISBN)- 12-637241-1 (1988) ...
  • algorithms." International Journal of Pattern Recognition and Artificial Intelligence 25.03 ...
  • SNEATH, P. H. A. AND SOKAL, R. R. 1973. Numerical ...
  • common clustering algorithms." Information Processing Letters 104.6 (2007): 205-210. [30] ...
  • very large databases, Proceedings of the 1996 ACM -SIGMOD International ...
  • databases, Proceedings of the 1998 ACM SIGMOD International Conference On ...
  • On Pattern Analysis and Machine Intelligence, vol. 22, no.12, pp. ...
  • observations, in: L.M. LeCam, J. Neyman (Eds.), Proceedings of the ...
  • the EM Algorithm. Journal of the Royal Statistical Society, Series ...
  • clustering algorithms for web mining, IEEE Trans. Fuzzy Systems 9 ...
  • clustering algorithms, IEEE Trans. Fuzzy Systems 7 (4) (1999) 453-461. ...
  • Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no.1, ...
  • Physics Reports 347.6 (2001): 461-538. [19] ...
  • processing." Bellingham, W A: Spie, 2003. [21] ...
  • Processing Using MATLAB@ (2011): 299-334. [22] ...
  • Francisco, 2001 pp. 346-389. [23] ...
  • Networks 16 (2005) 645_678. [24] ...
  • modeling, Computer August (1999) 68-75. [33] ...
  • Analysis, Wiley, New York, 1990). [36] ...
  • Press, New York and London, 1987. [38] ...
  • Hans-Peter Kriegel, Peer Kroger, Jirg Sander, Arthur Zimek (2011). "Density-based ...
  • clusters in large spatial databases, Proceedings of the 1996 International ...
  • the clustering structure, Proceedings of the 1999 ACM -SIGMOD International ...
  • Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng and Jorg ...
  • "OPTICS-OF Identifying Local Outliers". Principles of Data Mining and Knowledge ...
  • Achtert, E.; Bihm, C.; Kriegel, H. P.; Kroger, P.; Miller- ...
  • "Finding Hierarchies of Subspace Clusters". LNCS: Knowledge Discovery in Databases ...
  • Achtert, E.; Bihm, C.; Kroger, P.; Zimek, A. (2006). "Mining ...
  • Correlation Clusters". Proc. 18th I nternational Conference _ Scientific and ...
  • spatial data mining, Proceedings of the 1997 International Conference on ...
  • Xu X, Ester M, Kriegel H, Sander J (1998) A ...
  • wavelet-based clustering approach for spatial data in very large databases." ...
  • U.M. Fayyard, G. Piatetsky- Shapiro, P. Smyth, R. Uthurusamy (Eds.), ...
  • neural pattern recognition machine, Comput. Vision Graphics Image Process. 37 ...
  • Chang, H. and D.Y. Yeung, Robust path-based spectral clustering. Pattern ...
  • نمایش کامل مراجع