Approximate Clustering on Data Streams Using Discrete Cosine Transform
نویسندگان
چکیده
منابع مشابه
Approximate Clustering on Data Streams Using Discrete Cosine Transform
In this study, a clustering algorithm that uses DCT transformed data is presented. The algorithm is a grid density-based clustering algorithm that can identify clusters of arbitrary shape. Streaming data are transformed and reconstructed as needed for clustering. Experimental results show that DCT is able to approximate a data distribution efficiently using only a small number of coefficients a...
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ژورنال
عنوان ژورنال: Journal of Information Processing Systems
سال: 2010
ISSN: 1976-913X
DOI: 10.3745/jips.2010.6.1.067