Description: 均值漂移算法是一种基于颜色特征的无参密度估计算法，被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。-Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking. Platform: |
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Author:王乾 |
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Description: 采用偏最小二乘法，分析了该信号的时域、频域、倒谱，循环谱等,已调制信号计算其普相关密度，利用自然梯度算法，基于欧几里得距离的聚类分析，匹配追踪和正交匹配追踪，仿真图是速度、距离、幅度三维图像。
-Partial least squares method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Modulated signals to calculate its density Pu-related, Use of natural gradient algorithm, Clustering analysis based on Euclidean distance, Matching Pursuit and orthogonal matching pursuit, FIG simulation speed, distance, amplitude three-dimensional image.
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Size: 8192 |
Author:iihdcpw |
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Description: 计算目标和海洋回波的功率谱密度,BP神经网络的整个训练过程,基于K均值的PSO聚类算法。- Calculating a target and ocean echo power spectral density, The entire training process BP neural network, K-means clustering algorithm based on the PSO. Platform: |
Size: 6144 |
Author:biehing |
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Description: 计算目标和海洋回波的功率谱密度,用MATLAB实现动态聚类或迭代自组织数据分析，基于小波变换的数字水印算法matlab代码。- Calculating a target and ocean echo power spectral density, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Based on wavelet transform digital watermarking algorithm matlab code. Platform: |
Size: 5120 |
Author:nangjiemang |
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Description: 基于K均值的PSO聚类算法,计算目标和海洋回波的功率谱密度,实现了对10个数字音的识别程。- K-means clustering algorithm based on the PSO, Calculating a target and ocean echo power spectral density, Realization of 10 digital audio recognition progra. Platform: |
Size: 5120 |
Author:闫常 |
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Description: 自动选择聚类中心的快速搜索密度峰值聚类算法(A fast search algorithm for density peak clustering based on automatic selection of clustering centers) Platform: |
Size: 6173696 |
Author:jhgsjfv
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Description: 运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density) Platform: |
Size: 2613248 |
Author:SpringMVC |
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Description: 给出基于密度的聚类之DBScan算法的具体思想和Matlab实现步骤(The idea of DBScan algorithm based on density clustering and the steps of Matlab are given) Platform: |
Size: 2048 |
Author:皮皮时光机 |
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Description: Java implementation for DBSCANSD, a trajectory clustering algorithm.
DBSCANSD (Density-Based Spatial Clustering of Applicationswith Noise considering Speed and Direction)[1] is a clustering algorithm extended from DBSCAN [2]. It can consider speed and direction, which is essential for maritime lanes extraction. The output of this algorithm is a set of Gravity Vectors (GV) and Sampled Stopping Points (SSP).
In the present version, the implementation has not included generating SSP yet, but I shall add this part later.
Since the AIS data provided for this project is confidential, I cannot upload it to github as example. But I generated a toy data set and put it in the src folder which can be tested with the program. And it will be great if you use this algorithm for other domains' problems, such as tracking data of vehicles, pedestrian, hurricane or animals.
More details about this algorithm can be found in [1]. The link is as following:
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7004281
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Author:648577896 |
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Search - Density Based Clustering Algorithm