高斯混合密度降解模型(GMDD)是一种基于稳健统计理论的层次聚类方法。
Gaussian Mixture Density Modelling and Decomposition (GMDD) is a hierarchical clustering method based on robust statistical theory.
基于形式概念分析和概念相似度，给出一种新的多背景文本模糊聚类方法和模型。
A novel multi-context text fuzzy clustering method and its model based on formal concept analysis and concept similarity is proposed.
依据基于遗传算法的投影寻踪聚类模型方法对四川省县级疾控机构工作产出进行评价。
Projection Pursuit classification method based on the genetic algorithms projection to deliver to the Sichuan county level CDC work carries on the appraisal.
建立了煤炭资源产分类的影响因素评价指标体系，以及基于聚类的综合评判模糊分类模型，探讨了煤炭资源资产分类的模糊数学方法，并通过实例进行了检验。
In the paper the evaluation index system of factors influencing the value of coal resources assets is set up, and fuzzy models for the classification of coal resources assets are given.
基于物元模型和聚类分析，提出了岩体边坡稳定性的可拓聚类预测方法。
Based on the matter-element model and the classified analysis method, an extension classification prediction method for the stability of rock-mass slopes is proposed.
解决推荐问题有三个通常的途径：传统的协同过滤，聚类模型，以及基于搜索的方法。
There are three common approaches to solving the recommendation problem: traditional collaborative filtering, cluster models, and search-based methods.
由于现实世界中时间序列多数是非线性的，而现有的时间序列聚类问题大多是基于线性时间序列模型进行聚类的，提出了可以用于非线性时间序列的聚类方法。
Most of the popular clustering methods are designed for the linear time series, assuming that the stationary time series can be fitted by linear model. In fact, the true word is nonlinear.
在hsl颜色模型的基础上，提出了基于模糊颜色聚类的缺陷分割方法。
On the basis of HSL color model, a defect segmentation method based on fuzzy color clustering is proposed.
分析了现有文章推荐系统中基于关键词向量的用户模型表示方法存在的不足，提出了基于聚类兴趣点的用户模型表示方法。
After analyzing the disadvantages of the user profile based on-keywords vector in the existing document recommendation system, a novel representation of user profile based on clustering was proposed.
该文探讨了基于向量空间模型的文本聚类方法，提出 了一种文本聚类的改进算法——LP 算法。
This paper discusses different Vector Space Model(VSM)-based clustering algorithms and presents an improved text clustering algorithm——Level-Panel(LP)algorithm.
该文探讨了基于向量空间模型的文本聚类方法，提出 了一种文本聚类的改进算法——LP 算法。
This paper discusses different Vector Space Model(VSM)-based clustering algorithms and presents an improved text clustering algorithm——Level-Panel(LP)algorithm.
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