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- W2113264985 abstract "Some initial component densities are compared in a mixture model for pattern recognition. The EM algorithm is widely adopted in construction of a mixture density for approximating a class-conditional density. However, the algorithm is very sensitive to the number of component densities and the initial component densities themselves. The initial component densities are obtained by a clustering method. We report the results of comparison between clustering methods yielding non-overlapping clusters and methods yielding overlapping clusters." @default.
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- W2113264985 date "2002-11-27" @default.
- W2113264985 modified "2023-09-26" @default.
- W2113264985 title "Appropriate initial component densities of mixture modeling for pattern recognition" @default.
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- W2113264985 doi "https://doi.org/10.1109/kes.1998.725914" @default.
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