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- Cluster validity function used for FCM segmentation 面向FCM聚类阈值分割的聚类有效性判别函数
- Considering the characteristics of microarray, we design and realize a FCM model based on clustering validity functions. 结合基因微阵列的特点,设计并实现了一种基于聚类有效性函数的模糊C均值模型。
- To consider the geometry structure information of data set, new clustering validity functions are defined by modify possibilistic partition coefficient. 该文考虑到数据集的几何结构信息,对可能性划分系数进行改进,提出了新的聚类有效性标准。
- Cluster Validity Function 聚类有效性函数
- Clustering Validity Function Based on Partition Coefficient Combined with Total Variation 划分系数和总变差相结合的聚类有效性函数
- Clustering validity function based on intra-variance and modified partition coefficient 基于类内差和改进划分系数的聚类有效性函数
- CLUSTERING VALIDITY FUNCTION BASED ON POSSIBILISTIC PARTITION COEFFICIENT COMBINED WITH FUZZY VARIATION 可能性划分系数和模糊变差相结合的聚类有效性函数
- A valid function name starts with a letter or underscore, followed by any number of letters, numbers, or underscores. 有效的函数名以字母或下划线打头,后面跟字母,数字或下划线。
- A valid function based on infra-class and inter-class variance to decide the number of regions was presented. 提出了一种基于类间方差和类内方差的自适应确定分割区域数的方法。
- First, fuzzy C-means (FCM) clustering method based on a new cluster validity index is used to obtain the optimal discrete values of the continuous attributes. 采用基于一种新的聚类有效性准则函数的模糊C均值聚类算法对连续属性进行离散化;
- Based on the classical fuzzy cmeans(FCM), a function for measuring clustering validity and a heuristic method to calibrate the fuzzy exponet iteratively are defined, and a practical fuzzy neural network model is proposed. 在传统的模糊C-均值算法的基础上,给出了一个衡量聚类有效性的函数和确定模糊指数的启发式方法,并给出了应用该算法的具体的模糊神经网络模型。
- This paper discusses the fuzzy C-means algorithm(FCM) , one of the fuzzy clustering methods and clustering validity measurements. 本文讨论了模糊聚类中的模糊C均值算法和聚类有效性测度。
- In this case, the validation function is accessed through WebSphere MQ protocol. 在这种情况下,通过WebSphere MQ协议来访问校验功能。
- Cluster Validity Based on Possibilistic Distribution 基于可能性分布的聚类有效性
- The solutions also boast leading security validation function, capable of reliably protecting your secret files from leakage. 此外,具有行业领先的安全验证功能,能够可靠地保护机密文件不被泄漏。
- If you create a client-side validation function without a corresponding server-side function, it is possible for malicious code to bypass validation. 如果创建客户端验证函数时不存在相应的服务器端函数,则恶意代码可能会绕过验证。
- It is ILLEGAL to forge headers on emails and it is ILLEGAL to neglect to include a valid functional unsubscribe link along with a valid mailing address in any emails sent out. 它是非法的,以伪造标题上的电子邮件,它是非法的忽视,包括一个有效的功能取消订阅链接,随著有效的邮寄地址在任何发送的电子邮件。
- A New Cluster Validity Index for Fuzzy Clustering 模糊聚类中判别聚类有效性的新指标
- Specify a valid function pointer 指定有效的函数指针
- However,HAC methods have several drawbacks,such as high time and memory complexities when clustering,insufficient and inaccurate cluster validation,etc. 但层次聚类也存在着几个缺点,如聚类时的时空复杂性高;聚类的簇效率低、误差较大等。