搜索资源列表
ICM_Unsupervised
- unsupervised icm algorithm for markov random fields.
Demo1_ICM
- demo for icm algorithm
dtkirsch-hmm-v0.2.0-0-g7feffa1
- 这是一个Ruby机器学习项目中本地实现广义隐马尔可夫模型的分类。目前，它能够监督学习和Viterbi解码。-This project is a Ruby gem ( hmm ) for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using la
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
ISODATA
- 基于ISODATA的非监督分类，使用MFC-The unsupervised classification based on ISODATA
Unsupervised-intralingual-and-cross-lingual-speak
- Unsupervised intralingual and cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction
som-master
- it an application for sel organizing map or kohonen in c # a cluster unsupervised-it an application for sel organizing map or kohonen in c # a cluster unsupervised
kmeansfromlightfast
- unsupervised kmeans clusetring algorithm of data
kmeans
- 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
Kmeans
- K-means algorithm for unsupervised training
CAN-code
- 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
mboben-spixel-989e153b58af
- 该方法实现了一种实时的由粗到细的超像素分割,是cvpr2015的一篇paper，该方法的效果非日常的好。指得大家学习和借鉴。-In this paper, we tackle the problem of unsupervised segmentation in the form of superpixels. Our main emphasis is on speed and accuracy. We build on [31] to define the problem as a bou
kmeans_demo1
- 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.
PCA(test)
- 完整的PCA 人脸识别的应用包括几个步骤：人脸图像预处理；读入人脸库，训练形成 特征子空间；把训练图像和测试图像投影到上一步骤中得到的子空间上；选择一定 的距离函数进行识别-We present an approach to the detection and identification of human faces and describe a working, near-real-time face recognition system which tracks a s
class_doit_unsupervised
- 遥感影像非监督分类程序，IDL调用ENVI库函数实现非监督分类。-Unsupervised classification of remote sensing images, IDL calls ENVI library functions to achieve unsupervised classification.
ENVI-IDL
- ENVI二次开发常用功能代码，包括大气校正、定标、分类(监督+非监督)、裁剪、镶嵌等-ENVI secondary development commonly used function codes, including atmospheric calibration, calibration, classification (supervision+ unsupervised), cutting, mosaic, etc.
FCM
- 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)
alex_net
- deep learning for unsupervised learning
SOM
- 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.)
协同过滤算法
- 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