搜索资源列表
Diversity-density-learning-algorithm
- 多示例学习是与监督学习、非监督学习和强化学习并列的第四类学习框架-Multi-instance learning with supervised learning, unsupervised learning and strengthen the learning parallel learning framework
video-key-frame-extraction
- 关键帧的提取方法的研究，对现有算法进行了总结分析，提出一种采用无监督聚类的自适应关键帧提取算法。-Keyframe extraction method, the existing algorithms were analyzed to propose a unsupervised clustering adaptive key frame extraction algorithm.
T1001ziph
- 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.
spider
- 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
Artificial_Intelligence
- 1.Hopfield 學習演算法(功能:能辨識英文字母) 2.Competitive 競爭式學習演算法(功能:執行非監督式的資料分群)-1.Hopfield learning algorithm (function: to identify letters) 2.Competitive competitive learning algorithm (function: the implementation of unsupervised data clustering)
image-clustering
- 图像的非监督分类，主要包括K均值、FCM等-Unsupervised classification of images, including K-means, FCM
IT
- 一种图像简化的预处理方法，来自文献“Unsupervised range-constrained thresholding”Pattern Recognition Letters,2011.1-An image transformation method for simplfying original images from the literature"Unsupervised range-constrained thresholding”Pattern Recognition Letters
rwrelease.tar
- Andrew N.G. 教授于2011年机器学习国际会议(ICML)发表了文章Code for On Random Weights and Unsupervised Feature Learning， 文件是paper的实现代码，非常具有参考价值-Professor Andrew NG 2011 machine learning Article Code for On the Random Weights and Unsupervised Feature Learning Internation
kmeans_demo
- 这是安德鲁教授在AISTATS上发表的文章An Analysis of Single-Layer Networks in Unsupervised Feature Learning对应的实现code,很有学习价值-Andrew Professor post in AISTATS An Analysis of Single-Layer Networks in Unsupervised Feature Learning corresponding implementation code, is le
nbem.tar
- Naive bayes classifer的具体实现，使用多模态事件模型表示，提供EM算法用于半监督和无监督学习，最大似然估计用于有监督学习-The Naive bayes classifer implementation, using a multi-modal event model EM algorithm for semi-supervised and unsupervised learning, maximum likelihood estimation for supervised
Process
- Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reductio
ISODATA
- isodata分类算法,非监督分类,经过多次的循环迭代求解-isodata classification algorithms, unsupervised classification, after the number of loop iterations to solve
PCM
- PCM and FCM based Image Segmentation.Unsupervised Clustering.
change-detectiones
- 关于变化检测的东西，很好!Fuzzy clustering algorithms for unsupervised change detection in remote sensing images-The Change Detection!Fuzzy clustering algorithms for unsupervised change detection in remote sensing images
kmeans
- kmeans聚类，用于时间序列无监督聚类-kmeans clustering for unsupervised clustering time series
ISODATA
- 基于ISODATA的非监督分类，使用MFC-The unsupervised classification based on ISODATA
Unsupervisededgedetection
- 单值图像在无监督情况下的边缘检测，是最新研究的热点-Single-valued image edge detection, unsupervised latest research hotspot
wudaoshixuexi-shenjingwangluo
- 无导师学习神经网络分类。带有例子。保证是可以运用的，例子是矿井突水水源的例子。-Unsupervised learning neural network classifier. With examples.
VCA
- Vertex Component Analysis: A Fast Algorithm to Unmix Hyperspectral Data-This paper presents a new method for unsupervised endmember extraction from hyperspectral data, termed vertex component analysis (VCA).
cluster-3.6.6
- 基于混合高斯的无监督聚类程序，对数据聚类、图像分割等都具有参考意义-An Unsupervised Algorithm for Modeling Gaussian Mixtures