Mean Shift Clustering Algorithm for Data with Missing Values-Reference-Cited by-同舟云学术

Mean Shift Clustering Algorithm for Data with Missing Values

Published:2014 Issue: Volume: Page:426-438
ISSN:0302-9743
Container-title:Data Warehousing and Knowledge Discovery
language:
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Author:

AbdAllah Loai,Shimshoni Ilan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-10160-6_38

Reference16 articles.

1. AbdAllah, L., Shimshoni, I.: A distance function for data with missing values and its applications on knn and kmeans algorithms. Submitted to Int. J. Advances in Data Analysis and Classification

2. Batista, G., Monard, M.C.: An analysis of four missing data treatment methods for supervised learning. Applied Artificial Intelligence 17(5-6), 519–533 (2003)

3. Cheng, Y.: Mean shift, mode seeking, and clustering. IEEE Trans. PAMI 17(8), 790–799 (1995)

4. Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. IEEE Trans. PAMI 24(5), 603–619 (2002)

5. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based Object Tracking. IEEE Trans. PAMI 25(5), 564–577 (2003)

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