However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

聚类结果显示各浮游植物群落组无明显的斑特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统在聚类方面的薄弱性，在WEKA的源环境下进行二次发，扩充了聚类算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在聚类区中利用各级线性地物划聚类象，类繁多的植物简要类十重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

聚结果显示各浮游植物群落组无明显的斑块布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统在聚方面的薄弱，在WEKA的源环境下进行二次发，扩充了聚算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在聚区中利用各级线地物划聚对象，并对种繁多的植物简要十重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

结果显示各浮游植物群落组分无明显的斑块分布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统在方面的薄弱性，在WEKA的源环境下进行二次发，扩充了算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在分区中利用各级线性地物划分对象，并对种繁多的植物简要分十分重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

聚类结果显示各浮游植物群落组分无明显的斑块分布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统在聚类方面的薄弱性，在WEKA的源环境下进，了聚类算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在聚类分区中利用各级线性地物划分聚类对象，并对种类繁多的植物简要分类十分重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

结果显示各浮游植物群落组分无明显的斑块分布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统在方面的薄弱性，在WEKA的源进行二次发，扩充了法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在分区中利用各级线性地物划分对象，并对种繁多的植物简要分十分重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

聚类结果显示各浮游植物群落组分无明显的斑块分布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为克服WEKA系统在聚类方面的薄弱性，在WEKA的源环境下次发，聚类算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在聚类分区中利用各级线性地物划分聚类对象，并对种类繁多的植物简要分类十分重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

聚结果显示各浮游植物群落组无明显的斑块布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统聚方面的薄，WEKA的源环境下进行二次发，扩充了聚算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

聚中利用各级线地物划聚对象，并对种繁多的植物简要十重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

聚类结果示各浮游物群落组分斑块分布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为了克服WEKA系统在聚类方面薄弱性，在WEKA源环境下进行二次发，扩充了聚类算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在聚类分区中利用各级线性地物划分聚类对象，并对种类繁物简要分类十分重要。

However, the richness of dinoflagellate and blue-green algae increased significantly in warm seasons.

类结果显示各浮游植物群落组无明显的斑块布特征。

In order to overcome the weakness of clustering in the WEKA system，the paper makes secondary development under the WEKA platform to extend the clustering algorithms.

为WEKA系统在类方面的薄弱性，在WEKA的源环境下进行二次发，扩充类算法。

Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

在类区中利用各级线性地物类对象，并对种类繁多的植物简要类十重要。