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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Interval Attributes Description Based FCM Clustering Algorithm for Noisy Data
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
| ASCII Text | x | ||
| Xia Shixiong, Li Yue'e, Zhou Yong, "Interval Attributes Description Based FCM Clustering Algorithm for Noisy Data," International Workshop on Knowledge Discovery and Data Mining, pp. 667-670, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/WKDD.2008.96, author = {Xia Shixiong and Li Yue'e and Zhou Yong}, title = {Interval Attributes Description Based FCM Clustering Algorithm for Noisy Data}, journal ={International Workshop on Knowledge Discovery and Data Mining}, volume = {0}, year = {2008}, isbn = {0-7695-3090-7}, pages = {667-670}, doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.96}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - International Workshop on Knowledge Discovery and Data Mining TI - Interval Attributes Description Based FCM Clustering Algorithm for Noisy Data SN - 0-7695-3090-7 SP667 EP670 A1 - Xia Shixiong, A1 - Li Yue'e, A1 - Zhou Yong, PY - 2008 VL - 0 JA - International Workshop on Knowledge Discovery and Data Mining ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.96
In allusion to the disadvantages that fuzzy c-means algorithm is sensitivity to noise and possibilistic c-means is easy to generate superposition cluster center, interval attributes description based FCM clustering algorithm is proposed in this paper. Firstly, an interval attributes description model of noisy data is presented. Then a clustering algorithm of interval attributes data based on two ends of interval number implemented by FCM. Finally, the simulations of practical data set are made by the algorithm of this paper and PCM. The results validated the feasibility and efficiencies of the algorithm proposed in this paper. Key Words: FCM; PCM; interval number; interval attributes; noisy data
Citation:
Xia Shixiong, Li Yue'e, Zhou Yong, "Interval Attributes Description Based FCM Clustering Algorithm for Noisy Data," wkdd, pp.667-670, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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