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clustering
- To identify distinguishable clusters of data in an n-dimensional pixel value image. Given: Samples of multi-spectral satellite images -To identify distinguishable clusters of data in an n-dimensional pixel
hm012
- Clustering analysis based on Euclidean distance, Achieve a grayscale image and further control for video surveillance, Noisy pulse correlation detection signal.
hg843
- FIG simulation speed, distance, amplitude three-dimensional image, Can realize the two-dimensional data clustering, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
nan_qc78
- K-means clustering algorithm based on the PSO, Debugging can be used, Complete class-based image processing, contains all of the source code, auto image.
yai-V6.0
- Correlation analysis process matlab method, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Using matlab to calculate the Mahalanobis distance for the image.
kie_v14
- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Classic GLCM texture calculation method, Can realize the two-dimensional data clustering.
bang-V4.5
- Can realize the two-dimensional data clustering, IDW inverse distance weighting method, FIG simulation speed, distance, amplitude three-dimensional image.
axbjh
- The IMC - PID is using the internal model control principle for PID parameters is calculated, Can realize the two-dimensional data clustering, Convolution operation is intended to signal and image rendering.
ebnni
- FIG simulation speed, distance, amplitude three-dimensional image, LCMV optimization design array signal processing, Clustering analysis based on Euclidean distance.
sangpie_v77
- Calculation crosshairs diffraction image at different distances, Mutual information is useful to calculate a set of procedures, Clustering analysis based on Euclidean distance.