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competelearning
- 竞争学习是一种无监督学习。在无监督学习中，只向网络提供一些学习样本，而不提供理想的输出。-Competitive learning is an unsupervised learning. In unsupervised learning, only some of the learning samples to the network, without providing the ideal output.
k_means
- k均值的 咱们做非监督分类都用过 不想理解他的原理吗 很重要-k mean we do not want unsupervised classification are used to understand his theory is very important to you
SOMToolBox
- This is unsupervised learning SOM Toolbox for matlab
UnsupervisedLearningWithTermClusteringForThematic
- Unsupervised Learning With Term Clustering For Thematic SegmentationOf Texts
Harris
- 研究一种红外医学图像处理与分析方法,实现红外人脸图像中特征区域的自动定位。方法 针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和 背景,并根据面部特征对称性在前景中确定鼻区 然后在面部确定一个包含所有特征的矩形区域,利用 Harris算子在该区域检测出角点,并找出这些点的局部最大值点 最后用K-means方法对这些点进行 聚类 -To develop an mi age analyzing procedure forautomatic
k-means
- 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
file-2
- 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
imagelibto-c
- 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
Fuzzy-processing
- 聚类分析是多元统计分析的一种，也是无监督模式识别的一个重要分支，在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集，使相似的样本尽可能归于一类，而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中，具有非此即彼的性质，而模糊聚类建立了样本对类别的不确定描述，更能客观的反应客观世界，从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statis
ISODATA
- ISODATA 非监督分类，运用于遥感等领域具有巨大作用-ISODATA unsupervised classification
odul
- 非监督学习神经网络的自动调制识别研究与实现-Unsupervised learning neural network based automatic modulation recognition and implementation of
kmeans2
- k-means image segmentation algorithm
PatternRecognition_Ch5_Unsupervised-learning-and-
- This file is about unsupervised clustering
Untitled1
- 自组织映射神经网络，实现数据网络的无导师训练-Self-organizing map neural network, data network unsupervised training
DBSCAN
- BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamic
BAMIC
- BAMIC是一种multi-instance聚类的算法。-BAMIC is a package for multi-instance clustering. This package includes the MATLAB implementation of BAMIC, which is designed to deal with unsupervised multi-label learning problems. It is particularly useful when real-wo
Neurons-PID-control
- 采用四种埪制律进行单神经元PID控制，即无监督的Hebb学习规则；有监督的Delta学习规则；有监督的Hebb学习规则；改进的Hebb学习规则。-Kong legal system of four single-neuron PID control, the Hebb learning rule is unsupervised a supervised learning rule Delta a supervised Hebb learning rule modified Hebb lea
ldaviagibbs
- LDA（Latent Dirichlet Analysis）潜在狄利克雷分析，是近年来文本以及图像中比较热的以topic为潜在变量的无监督学习方法-LDA (Latent Dirichlet Analysis) Dirichlet potential analysis of text and image in recent years compared to the hot topic as a potential method of unsupervised learning variable
ENVI-Functions
- ENVI具备了丰富的二次开发功能函数接口。汇总了常用的功能代码。包括 功 能 源码名称 初始化ENVI startENVI.pro 定标 cal_calibration.pro 大气校正 cal_quac.pro 融合 cal_sharpen.pro 镶嵌 cal_mosaic.pro 裁剪 cal_subset.pro 分类(监督+非监督) cal_class.pro 面向对象特征提取 cal_fx.pro 结束ENVI endENVI.pro 问
Real-Time-Abnormality-Detection-fromWebcams
- This paperpresent a data-driven, unsupervised method for unusual scene detection from static webcams. Such time-lapse data is usually captured with very low or varying framerate. This precludes the use of tools typically used in surveillance