spectral class

Spectral clustering as a class of new and effective clustering method has been the major research in the field of machine learning.

谱聚类作为一类新兴的、高性能的聚类方法，目前已成为国际上机器学习领域的研究热点。

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It is pointed out that the spectral class c is possibly originated from the nonhomogeneity of the source even if the internal absorption in the source is neglected.

指出，由于源本身的不均匀性即可产生c型谱（低频倒转），即使源本身是光学薄的，完全忽略其内吸收。

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Spectral clustering as a class of new and effective clustering method has been widely concerned and successfully applied in image segmentation.

谱聚类作为一类新兴的、有效的聚类方法得到广泛的关注，并已成功的应用于图像分割。

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The inter spectral redundancy and intra spectral redundancy can be eliminated mostly by multilevel clustering algorithm with quickly convergent K means classification and the method clearing redundancy at step through enhancing the intra class pixel redundancy.

多层次聚类无损压缩就是利用改进的K-means聚类算法具有快速收敛的特点，和利用分层次去冗余的方法来聚类，因此可最大限度消除残差冗余。

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On a class of spectral measures in an Banach space

关于巴拿赫空间上的一类谱测度

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