Penalized unsupervised learning with outliers
نویسندگان
چکیده
منابع مشابه
Penalized unsupervised learning with outliers.
We consider the problem of performing unsupervised learning in the presence of outliers - that is, observations that do not come from the same distribution as the rest of the data. It is known that in this setting, standard approaches for unsupervised learning can yield unsatisfactory results. For instance, in the presence of severe outliers, K-means clustering will often assign each outlier to...
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ژورنال
عنوان ژورنال: Statistics and Its Interface
سال: 2013
ISSN: 1938-7989,1938-7997
DOI: 10.4310/sii.2013.v6.n2.a5