Description: 自己编的使用小波实现的纹理图像分割，具体过程是先对图像进行三级小波分解，每级都对系数聚类并指导下一级分类，分割效果较好~
-own addendum to the use of wavelet achieve the texture image segmentation, specific process is the first image wavelet decomposition three each of the levels are right and clustering coefficients under the guidance of a classification, segmentation better ~ Platform: |
Size: 64355 |
Author:夏玉 |
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Description: The Matlab functions and scripts in the MA toolbox are:
- ma_sone wav (PCM) to sone (specific loudness sensation)
- ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients)
- ma_sh sone to Spectrum Histogram
- ma_ph sone to Periodicity Histogram
- ma_fp sone to Fluctuation Pattern
- ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering)
- ma_cms cluster models to distance (Cluster Model Similarity)
- ma_kmeans kmeans clustering (used by \"ma_fc\")
- ma_cm_visu visualize a cluster model (as returned by \"ma_fc\")
- ma_simple_eval script for a simple evaluation of similarity measures
- ma_simple_iom script for a simple islands of music interface
-The Matlab functions and scripts in the MA t oolbox are : - ma_sone wav (PCM) to betamethasone ('s specific loudness ensation) - ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients) - ma_sh betamethasone to Sp ectrum Histogram - ma_ph betamethasone to Periodicity Hi stogram - ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering) - ma_cms cl uster models to distance (Cluster Model Simila rity) - ma_kmeans kmeans clustering (used by "m a_fc ") - ma_cm_visu visualize a cluster model ( as returned by "ma_fc") - ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface Platform: |
Size: 24961 |
Author:mesu |
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Description: 自己编的使用小波实现的纹理图像分割，具体过程是先对图像进行三级小波分解，每级都对系数聚类并指导下一级分类，分割效果较好~
-own addendum to the use of wavelet achieve the texture image segmentation, specific process is the first image wavelet decomposition three each of the levels are right and clustering coefficients under the guidance of a classification, segmentation better ~ Platform: |
Size: 64512 |
Author:夏玉 |
Hits:
Description: The Matlab functions and scripts in the MA toolbox are:
- ma_sone wav (PCM) to sone (specific loudness sensation)
- ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients)
- ma_sh sone to Spectrum Histogram
- ma_ph sone to Periodicity Histogram
- ma_fp sone to Fluctuation Pattern
- ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering)
- ma_cms cluster models to distance (Cluster Model Similarity)
- ma_kmeans kmeans clustering (used by "ma_fc")
- ma_cm_visu visualize a cluster model (as returned by "ma_fc")
- ma_simple_eval script for a simple evaluation of similarity measures
- ma_simple_iom script for a simple islands of music interface
-The Matlab functions and scripts in the MA t oolbox are :- ma_sone wav (PCM) to betamethasone ('s specific loudness ensation)- ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients)- ma_sh betamethasone to Sp ectrum Histogram- ma_ph betamethasone to Periodicity Hi stogram- ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering)- ma_cms cl uster models to distance (Cluster Model Simila rity)- ma_kmeans kmeans clustering (used by "m a_fc ")- ma_cm_visu visualize a cluster model ( as returned by "ma_fc")- ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface Platform: |
Size: 24576 |
Author:mesu |
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Description: 语音编码中对LSF系数进行VQ处理，LBG方法生成VQ码书，且采用了新的失真测度-Speech Coding for VQ processing LSF coefficients, LBG method of VQ codebook generation, and adopted a new measure of distortion Platform: |
Size: 3072 |
Author:Beth Chen |
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Description: 根据邻接矩阵，计算复杂网络中模块的聚类系数。-According to the adjacency matrix, the computational complexity of the network module clustering coefficients. Platform: |
Size: 1024 |
Author:lilijing |
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Description: 提出了一种基于多通道 Gabo r滤波器和 FCM聚类的图像融合新方法。该方法先利用模糊
C2均值聚类算法在多通道 Gabo r滤波器形成的特征空间上对图像进行区域分割 再对待融合图像进行多尺度小波分解 在此基础上利用 Gabo r滤波器提取高频段纹理特征构造区域相似度 ,应用区域相似度及信息量构造加权因子 ,从而得到融合图像的小波系数 最后 ,利用小波逆变换得到融合图像.-Proposed a multi-channel Gabo r filter and FCM clustering for image fusion method. The method first C2 means clustering algorithm using the fuzzy multi-channel Gabo r filter in the formation of the image feature space segmentation re fused to treat multi-scale wavelet decomposition image on this basis, the use Gabo r filter from the high frequency structural similarity region texture features, application areas and the information structure similarity weighting factor, resulting in fusion of the wavelet coefficients Finally, the inverse wavelet transform fusion image. Platform: |
Size: 458752 |
Author:guoj |
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Description: The basis for this comparison is a song’ s musical ‘ fingerprint’ , which is computed by
clustering a set of spectral features represented by the Mel-Frequency Cepstral Coefficients
(MFCC) of the audio signal. This fingerprint not only uniquely identifies a musical piece it
also provides information about its musical characteristics.-The basis for this comparison is a song’ s musical ‘ fingerprint’ , which is computed by
clustering a set of spectral features represented by the Mel-Frequency Cepstral Coefficients
(MFCC) of the audio signal. This fingerprint not only uniquely identifies a musical piece it
also provides information about its musical characteristics. Platform: |
Size: 222208 |
Author:ahmed |
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Description: 关于复杂网络的聚类系数算法，用matlab计算，矩阵为稀疏矩阵。-clustering_coefficients(A) returns the clustering coefficients for all vertices in A. The clustering coefficient is the ratio of the number of edges between a vertex s neighbors to the total possible number of edges between the vertex s neighbors. Platform: |
Size: 1024 |
Author:李涛 |
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Description: 通过公式SW=（C/Crand）/（L/Lrand）求取复杂网络的小世界性系数。
注：其中聚类系数和平均距离都是直接调用工具包中的函数。-By the formula SW = (C/Crand)/(L/Lrand) to strike a small complex networks worldwide coefficients. Note: where clustering coefficient and average distance are called directly toolkit functions. Platform: |
Size: 1024 |
Author:张策 |
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Description: In this paper, the expert system is introduced in
order to detect and classify commonly power quality
disturbances. This system is using learning vector quantization
artificial neural networks. Clustering method named fuzzy
c-mean is also utilized to initialize weight vector of first hidden
layer. It can mitigate the disadvantage of LVQ ANN. The
proposed system employs wavelet decomposition coefficients for
extracting of deviated signals features. The determined feature
vector is derived from Standard Deviation of 10-level
decomposition detail coefficients. For the purpose of having
efficient network, just 3 characteristic points among 10 points
have been used, that leads to make networks training much Platform: |
Size: 4096 |
Author:applepie12356 |
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Description: 首先使用灰度共生矩阵提取图像纹理特征，之后使用灰度共生矩阵的熵值与相关性系数作为纹理参数，用k-means聚类算法实现遥感图像的云检测-First of all, the gray co-occurrence matrix is used to extract the image texture features, then the entropy and correlation coefficients of the GLCM are used as texture parameters, and the K-means clustering algorithm is used to detect the cloud of remote sensing images Platform: |
Size: 4096 |
Author:yunqpqg |
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Description: 大脑网络的属性，包括效率，度，小世界属性，传递系数，聚类系数，中介性，参与系数，模块化函数等(The attributes of the brain network include efficiency, degree, small world attributes, transfer coefficients, clustering coefficients, intermediation, participation coefficients, and modular functions) Platform: |
Size: 833536 |
Author:wen517620201
|
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Description: 复杂网络中小世界网络生成程序，可以用matlab生成制定聚类系数 连接概率和平均最短路径长度的经典小世界网络(A small world network generating program for complex networks, which can be used to generate a classical small world network with clustering coefficients, connection probabilities and average shortest path length by MATLAB) Platform: |
Size: 1024 |
Author:丹枫宿雪
|
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Description: 展示了如何生成一个随机无标度网络图，基本结构分析，包括度分布、聚类系数等。观察两种类型的攻击对网络的影响：随机攻击（所有的几点有相同的概率从网络中删除）、有目标地选择连接度最大的节点（节点度最大的节点从网络中删除）。(Shows how to generate a random scale-free network graph, basic structural analysis, including degree distribution, clustering coefficients, etc. Observe the impact of two types of attacks on the network: Random attacks (all points have the same probability of being removed from the network), and select the node with the highest degree of connectivity (the node with the highest node degree is removed from the network).) Platform: |
Size: 1024 |
Author:jjjustin0219 |
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Search - clustering coefficients