Therefore, the improved FCM clustering results can reduce the sampling errors and retain the main attributes of cloud classification samples.
改进后的聚类结果既消除了采样误差，又保持了云类样本的基本特征属性。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。
Real Protect leverages machine learning and automated, behavioral-based classification in the cloud to detect zero-day malware in real time.
真正的保护，利用机器学习和自动化，行为为基础的分类，在云中实时检测零日恶意软件的实时。
The concept of attribute similarity is presented to solve the weight problem of multi-dimension object classification, and cloud classifier based on attributes similarity is presented also.
提出了属性相似度概念解决高维对象分类的权重问题，并结合云理论建立了基于属性相似度的云分类器。
A new method is proposed to detect infrared small and dim targets in cloud cluster image based on fuzzy classification.
提出了一种新的基于模糊分类的红外云层背景弱小目标检测方法。
A new method is proposed to detect infrared small and dim targets in cloud cluster image based on fuzzy classification.
提出了一种新的基于模糊分类的红外云层背景弱小目标检测方法。
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