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.

在聚类分用各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。

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。

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.

在聚类区中利用各级线性地物划聚类对象，并对种类繁多的植物类十重。

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

聚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。