A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.

提出一种隐马尔可夫模型和K -均值聚类混合模型的声目标识别方法。

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Firstly, RAC and K-means clustering method are combined in this algorithm by the way of searching pre-matches feature points, which are called the cluster point set, of the unknown model.

此算法首先结合RAC和K -均值聚类方法对未知模型的特征点进行预匹配，得到的匹配结果称为聚类点集。

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Lastly, the experiments proved the method of image segmentation based on cloud model is better than the method based on fuzzy K means cluster and the method based on K means.

最后，试验证实了图像分割办法基于云模型比该办法基于模糊凯西意味着聚类和办法基于凯西的办法。

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