利用平均电价差值积分模型将电力市场中发电商的机组报价曲线转换为一维特征向量，从而采用传统聚类方法对机组报价曲线实现分类。
This model can transform units bidding curve of power producer in market into a one-dimensional feature vector, so it can implement classification of units bidding using classical clustering method.
未来的研究可以从变量的选取和量化、增大数据样本量、模型函数形式、房地产市场不同性质分类等方面，进行进一步研究。
Future studies from the selected variables and quantify sample volume increased data model function form the real estate market, such as classification of different nature, for further study.
采用分类建模和特殊建模相结合的方法构建了大规模复杂城市场景的红外模型，绘制出了不同时刻城市复杂场景红外成像图。
Combining the methods of classified modeling and special modeling we constitute the large-scale complex urban IR scene and render the IR images of urban scene at various time.
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