Abstract
Abstract
In machine learning problems, there are two main algorithms: supervised learning and unsupervised learning. Supervised learning algorithms can be used to classify data for tagged data; non-supervised learning algorithms can be used to cluster data for unlabeled data. This paper discusses the basic principles of clustering algorithm and selection of key parameters of clustering algorithm. The application of clustering algorithm in image compression is also analyzed. This paper also emphasizes the problems that should be paid attention to when using clustering. Finally, a practical case of image compression with K-means is given.
Reference10 articles.
1. The art of writing a scientific article;Van der Geer;J. Sci. Commun.,2010
2. Algorithm as 136: a k-means clustering algorithm;Hartigan;Journal of the Royal Statistical Society,1979
3. An efficient k-means clustering algorithm: analysis and implementation;Kanungo;IEEE Transactions on Pattern Analysis & Machine Intelligence,2002
4. Extensions to the k-means algorithm for clustering large data sets with categorical values;Huang;Data Mining & Knowledge Discovery,1998
5. Constrained k-means clustering with background knowledge;Wagstaff,2001
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