https://github.com/shingt/fuzzycmeans

Fuzzy C-Means Clustering implementation using C++ and OpenCV interface.
https://github.com/shingt/fuzzycmeans

c-plus-plus fuzzy-cmeans-clustering opencv

Last synced: 25 days ago
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Fuzzy C-Means Clustering implementation using C++ and OpenCV interface.

• Host: GitHub
• URL: https://github.com/shingt/fuzzycmeans
• Owner: shingt
• Created: 2014-02-25T03:31:49.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2016-02-06T08:16:35.000Z (almost 9 years ago)
• Last Synced: 2024-10-03T16:17:05.433Z (about 1 month ago)
• Topics: c-plus-plus, fuzzy-cmeans-clustering, opencv
• Language: C++
• Size: 9.77 KB
• Stars: 14
• Watchers: 4
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# FuzzyCMeans

* Fuzzy C-Means clustering implementation using OpenCV.

## Usage

```cpp

    cv::Mat dataset = (cv::Mat_ (4, 2)

      << 

      0, 0,

      5, 4,

      100, 150,

      200, 102);

    static unsigned int number_clusters = 2;

    float fuzziness = 1.5;

    float epsilon = 0.01;                       // Threshold

 

    SoftCDistType dist_type = kSoftCDistL2;

    SoftCInitType init_type = kSoftCInitKmeansPP;

    SoftC::Fuzzy f (dataset, number_clusters, fuzziness, epsilon, dist_type, init_type);

    unsigned int num_iterations = 100;

    f.clustering (num_iterations);

    cv::Mat centroids = f.get_centroids_ ();

    std::cout << centroids << std::endl;

    cv::Mat memberships = f.get_membership_ ();

    std::cout << memberships << std::endl;

}

```

#### Copyright (c) 2014 Shinichi Goto All rights reserved.