The pre-knowledge of the probability density function is used in the noise sample's classification, clustering and unsupervised parameter estimation.

As an important unsupervised learning algorithm without pre-marked samples in machine learning, clustering has been well developed in recent years.

聚类作为机器学习中一种重要的无监督学习算法，具有无需事前标记样本类型等优点，在近些年得到了很好地发展和应用。

互联网摘选

The process of clustering is dividing the not training samples into different meaningful class clusters, which belongs to unsupervised learning.

聚类过程是将没有训练样本的数据集划分为有意义的不同类，属于无监督学习。

互联网摘选

Semi-supervised clustering is to use a small amount of labeled samples and unlabeled samples to guide the clustering process.

半监督聚类也就是无监督学习，就是使用少量的标记样本对无标记样本的聚类过程进行指导。

互联网摘选

Unsupervised learning is used to adjust input weight values and supervised learning is utilized to adjust output weight values.

学习过程中，采用无监督学习算法对输入权重进行调整，采用有监督学习算法对输出权重进行调整。

互联网摘选

The supervised and unsupervised learning diagnosis methods are discussed and several improvements have been presented in the learning algorithms.

本文对模拟故障诊断的有监督学习和无监督学习方法分别进行了研究，通过对实现过程的分析，对经典的学习算法进行深入研究，并提出若干改进。

互联网摘选

As an unsupervised learning method, cluster analysis is one of the most important research fields in machine learning.

聚类分析作为一种无监督学习方法，是机器学习领域重要研究方向之一。

互联网摘选

From a machine learning perspective clusters correspond to hidden patterns, the search for clusters is unsupervised learning.

从机器学习的观点来看，类相当于隐藏模式，寻找类是无监督学习过程。

互联网摘选

We can derive a self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units.

信息最大化方法将信息理论与神经网络相结合，根据使网络中所传递的信息量最大，推导出一种无监督学习准则。

互联网摘选

The traditional cluster is unsupervised learn-ing, that is, it does't need the prior knowledge.

传统的聚类是无监督学习，也就是说不需要先验知识。

互联网摘选

Constrained clustering and transductive learning mainly deal with learning problems between unsupervised learning and supervised learning.

约束聚类和约束分类主要处理学习问题的方式间于无监督学习和监督学习。

互联网摘选

Semi-supervised learning flourishes as it can circumvent the limitations of unsupervised learning and supervised learning.

半监督学习的蓬勃发展规避了无监督学习和监督学习的局限性。

互联网摘选

Multiple Attribute Information Decision Making Mode and Application Via Improved Fast Unsupervised Learning Algorithm

多属性信息决策的改进无监督学习算法建模与应用

互联网摘选

Unsupervised learning based for part of speech disambiguation in English Chinese machine translation

英汉机译中一种基于无监督学习的词类消歧策略

互联网摘选

Supervised manifold learning. Manifold learning algorithms are mostly unsupervised methods.

有监督流形学习目前流形学习方法大都是无监督学习，可以很好地实现数据的降维和可视化。

互联网摘选

An Unsupervised Learning Algorithm Based on Classification Weight and Mass Center Driving

基于分类权与质心驱动的无监督学习算法

互联网摘选

Sources number estimation and blind separation algorithm based on unsupervised learning

基于无监督学习的源数估计及盲分离算法

互联网摘选

Research of Blind Source Separation Technology which Based on Unsupervised Learning

基于无监督学习的盲信号源分离技术研究

互联网摘选

The methods of BSS and ICA are belong to a class of unsupervised learning algorithm, its algorithm theory and practical application are related the optimization of a number of areas of mathematics and neuroscience.

目前，ICA已经成为盲源分离的主流方法。BSS与ICA都属于一类无监督学习算法，他们的算法理论与实际应用涉及到优化数学和神经科学等多个领域。

互联网摘选

Decision improving of unsupervised SVM for fault identification

一种改进的无监督学习SVM及其在故障识别中的应用

互联网摘选

"Unsupervised Learning of Disambiguation Rules for Part of Speech Tagging." Workshop on Very Large Corpora, p.1995. ( PDF)

词类标注的消歧规则的无监督学习〉。《超大规模语料专题讨论会》，1995年。（PDF）

互联网摘选