Impact of Contamination on Training and Test Error Rates in Statistical Clustering
نویسندگان
چکیده
منابع مشابه
Impact of Contamination on Training and Test Error Rates in Statistical Clustering
The k-means algorithm is one of the most common nonhierarchical clustering methods. However, this procedure is not robust with respect to atypical observations. Alternative techniques have thus been introduced, e.g. the generalized k-means procedure. In this paper, focus is on the error rate these procedures achieve when one expects the data to be distributed according to a mixture distribution...
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ژورنال
عنوان ژورنال: Communications in Statistics - Simulation and Computation
سال: 2011
ISSN: 0361-0918,1532-4141
DOI: 10.1080/03610918.2010.542847