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聚类分析是数据挖掘中重要的研究内容之一，对聚类准则进行了总结，对五类传统的聚类算法的研究 现状和进展进行了较为全面的总结，就一些新的聚类算法进行了梳理，根据样本归属关系、样本数据预处理、 样本的相似性度量、样本的更新策略、样本的高维性和与其他学科的融合等六个方面对聚类中近 20多个新算 法，如粒度聚类、不确定聚类、量子聚类、核聚类、谱聚类、聚类集成、概念聚类、球壳聚类、仿射聚类、数据流聚 类等，分别进行了详细的概括。(Clustering analysis is one of the important research contents in data mining. The clustering criteria are summarized. The research status and progress of five traditional clustering algorithms are summarized comprehensively. Some new clustering algorithms are used. By combing, according to the sample attribution relationship, sample data preprocessing, sample similarity measure, sample update strategy, sample high-dimensionality and fusion with other disciplines, nearly 20 new algorithms in clustering, Such as granular clustering, uncertain clustering, quantum clustering, nuclear clustering, spectral clustering, clustering integration, concept clustering, spherical shell clustering, affine clustering, data stream clustering, etc., respectively Generalization.)

说明：  fft and Ifft of an Image

国外简约时尚大气jquery幻灯片插件，移至你的网页，用来实现图片推荐、精品推荐版块，相当合适了。本图片切换采用滚动切换的方式，点击缩略图后，大图片左右滚动出现，文字描述则上下滚动出现，形成了极具动感效果的图片展示特效，而且兼容各大浏览器。

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说明：  这是SAR成像点目标仿真中的wK算法，程序严格按照Ian G. Cumming的《合成孔径雷达成像算法与算法》中cs算法来编写，对于学习wK算法的同学来说是入门级的仿真程序((This is the the SAR imaging point target simulation the cs algorithm, the program written in strict accordance with the Ian G. Cumming synthetic aperture radar imaging algorithm and algorithm wK algorithm for students learning wK algorithm is entry-level simulation program))

说明：  采用主成分分析法判断了北京2000-2010年的经济活力。采用遗传算法优化的神经元网络模型评估10个城市的经济活力，马尔可夫灰度预测预测未来5年的发展状况。(The economic vitality of Beijing from 2000 to 2010 was judged by principal component analysis. The neural network model optimized by genetic algorithm is used to evaluate the economic vitality of 10 cities, and Markov grey prediction is used to predict the development of the next 5 years.)

利用泊松过程，实现泊松点过程和泊松簇过程(Poisson point process and poisson cluster process are realized by poisson process)

C# comboBox下拉列表框动态加载数据库内容，先建立数据库连接，建立数据集对象，读取数据库，然后将数据显示在comboBox下拉框中，本例中的数据库使用的是SQL2005，测试前请附加和连接好数据库。

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对于OFDM系统，对信道进行估计，编写信道训练序列来进行估计(For the OFDM system, we estimate the channel and compile the channel training sequence to estimate it.)