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系统在类方面的薄弱性，在WEKA的源环境二次发，扩类算法。

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.

在类分区中利用各级线性地物划分类对象，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系统方面的薄弱，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.

分区中利用各地物划分对象，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.

在聚分区中利用各级线性地物划分聚对象，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.

聚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系统在聚方面的薄弱性，在WEKA的下进行二次发，扩充了聚法。

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.

在聚分区中利用各级线性地物划分聚对象，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.

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.

聚类结果浮游植物群落组分无的斑块分布特征。

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重。

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。

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.

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象，并种繁多的植物简要分十分重要。