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January 2, Thursday
12:00 – 14:00

Baysian Information Criterion (BIC) is a probabilistic, model selection criterion which many works have applied to the clustering validity problem. After an overview of BIC, it will first be shown that the criterion needs to be extended in order to properly cluster short series. Second, it will be shown how BIC can be used in Vector Quantization (VQ) instead of a probabilistic model; this will be followed by its application in speaker clustering.