A. Touzani

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In this correspondence, a relaxation process is described and is applied to the detection of the modes of the underlying probability density function for clustering multidimensional data. When the process is iterated, the label probabilities become very high in modal region and very low in the valleys, so that mode detection becomes trivial.
where 1 < p < N , g is a function that changes sign, i.e. g is an indefinite weight function, a is a positive and bounded function and λ is a real parameter. The aim of this work is to prove the existence and C1,α regularity of the weak solution of (1.1). In comparison to similar results we use a nonstandard variational approach — we do not minimize a(More)
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