搜索资源列表
-
0下载：
Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
-
-
0下载：
这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。
-This is a detailed introducer face detection and voice-driven lip article, which makes use of a Gaussian mixture model to take unsupervised clustering methods, hope useful for you.
-
-
0下载：
kmeans均值聚类，通过一个小程序展示通过聚类进行无监督识别的方法-kmeans means clustering, showing unsupervised clustering method identified by a small program
-
-
0下载：
One challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of most similar facial images and their weak labels that are often noisy and incomplete. To tackle this problem, we propos
-
-
8下载：
Clustering and Projected Clustering with Adaptive Neighbors
-We proposed a CAN clustering algorithm with adaptive neighbors, the learned similarity matrix can be directly used for clustering, without having to perform K-means or other discretizatio
-
-
0下载：
聚类算法可以理解为无监督的分类方法，即样本集预先不知所属类别或标签。-Clustering algorithms can be understood as unsupervised classification method, namely the sample set in advance know that category or tag.
-
-
0下载：
用于数据聚类，无监督学习，可以直接使用，望大家指导批评(For data clustering, unsupervised learning)
-
-
0下载：
自组织竞争神经网络，可以对数据进行无监督学习聚类，本质上是一种只有输入层--隐藏层的神经网络(The self-organized competitive neural network can carry out unsupervised learning clustering of data, which is essentially a neural network with only the input layer hidden layer.)
-
-
0下载：
文本聚类(Text clustering)文档聚类主要是依据著名的聚类假设:同类的文档相似度较大，而不同类的文档相似度较小。作为一种无监督的机器学习方法，聚类由于不需要训练过程，以及不需要预先对文档手工标注类别，因此具有一定的灵活性和较高的自动化处理能力，已经成为对文本信息进行有效地组织、摘要和导航的重要手段，为越来越多的研究人员所关注。(Text clustering document clustering is based on the well-known clustering assum
-
