IEEE - Institute of Electrical and Electronics Engineers, Inc. - Edge based technique to estimate number of clusters in k-means color image segmentation

2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010)

Author(s): Patil, R.V. ; Jondhale, K.C.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2010
Conference Location: Chengdu, China, China
Conference Date: 9 July 2010
Volume: 2
Page(s): 117 - 121
ISBN (CD): 978-1-4244-5539-3
ISBN (Electronic): 978-1-4244-5540-9
ISBN (Paper): 978-1-4244-5537-9
DOI: 10.1109/ICCSIT.2010.5563647
Regular:

K-Means algorithm is an unsupervised clustering algorithm that classifies the input data points into multiple classes based on their inherent distance from each other. Success of k-means color... View More

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