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[Console] kmeans DL : 0: 这是基本的k均值算法是模式识别的聚分类问题，这是用C实现其算法以下是程序源代码，希望对大家有所帮助。-This is the basic k-means algorithm is a pattern recognition classification of polyethylene, which is used to achieve its algorithm C Following is the source code, I hope all of you to help.
Date : 2026-01-10 Size : 3kb User : 夜水晶
[Console] Bayesian DL : 0: 使用VS6.0并用C++编写的贝叶斯控制台应用程序。实现了模式识别中的贝叶斯分类。需手动输入分类的参数。-Use VS6.0 and written with C++ Bayesian console application. Pattern recognition to achieve a Bayesian classification. Require manual input of the classification parameters.
Date : 2026-01-10 Size : 7kb User : zhaoyongquan
[Console] WindowsApplication1 DL : 0: It´ s a associative memory, They are a method pattern recognition
Date : 2026-01-10 Size : 99kb User : robotbailarin
[Console] basy_clasifly DL : 0: 这是一个贝叶斯分类器程序，可以使用设计的分类器进行文档分类，非常有利于进行模式识别研究学习-This is a Bayesian classifier, you can use the design of the classifier for document classification, is very conducive to learning for pattern recognition research
Date : 2026-01-10 Size : 2.36mb User : 刘恋
[Console] ClusterAnalysis_2014.11.4 DL : 0: 模式识别的聚类分析。K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了，每个聚类的聚类中心会根据聚类中现有的对象被重新计算。这个过程将不断重复直到满足某个终止条件。终止条件可以是没有（或最小数目）对象被重新分配给不同的聚类，没有（或最小数目）聚类中心再发生变化，误差平方和局部最小。-Pattern recognition clustering analysis. K-means clustering algorithm is to randomly K objects as the initial cluster centers. Then calculate the distance of each object and each seed cluster centers, assigning each object to its distance the nearest cluster center. Cluster centers and the object assigned to them on behalf of a cluster. Once all the objects are assigned, the cluster centers of each cluster will be recalculated based on the existing cluster object. This process is repeated until a termination condition is satisfied. Termination condition may not be (or smallest numbers) is reassigned to a different target cluster, no (or a minimum number) and then change the cluster centers, and a local minimum squared error.
Date : 2026-01-10 Size : 32.02mb User : 周思洁
[Console] pattern-cluster DL : 0: 基于近点距离的等级集群算法是模式识别中的一种重要算法，该代码给出了一个简单的例子。-Hierarchical clustering algorithm based on the near point distance is an important algorithm in pattern recognition, which gives a simple example.
Date : 2026-01-10 Size : 4.92mb User : 赵欢