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无明显斑块布特征。

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系统方面薄弱，WEKA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.

区中利用各级线地物划对象，并对种繁多植物简要十重要。

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

聚类结果显示浮游植物群落组分无明显斑块分布特征。

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.

在聚类分区中级线性地物划分聚类对象，并对种类繁多植物简要分类十分重要。

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

聚类结果显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.

在聚类分区中利用级线性地物划分聚类对象，并对种类繁多的植物简分类十分。

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.

类结果显示各浮游植物群落组分无明显斑块分布特征。

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系统类方面薄弱性，WEKA环境下进行二次发，扩充了类算法。

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.

类分区中利用各级线性地物划分类对象，并对种类繁多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的源环境下进行，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.

聚类结果显示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.

在聚类区中利用级线性地物划聚类对象，并对种类繁多的植物简类十。

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

聚结果显示各浮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性，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性地划聚对象，并对种繁多的简要重要。

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系统在聚类方面的，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.

在聚类利用各级线地物划聚类对象，并对种类繁多的植物简要类十重要。