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Fuzzy C means clustering algorithm

FCM Algorithm is an unsupervised learning method, select K As the number of clusters, N Samples were divided into K Class, and have greater similarity within classes, which have a smaller similarity between its Euclidean distance is used as a measure of similarity, that is, the smaller the distance...
  Matlab        Matlab     

kmeans clustering algorithm

This projects describes simple demo of kmeans clustering algo in python with graph and table generated for the input...
  process        Python     

Mahout Canopy&Kmeans clustering

Mahout clustering example Canopy&Kmeans code Describes using the Mahout Canopy&Kmeans of rapid cluster analysis, simple and direct hands-on Directly on the code...
  Algorithm        Java     

Written in MATLAB Kmeans clustering procedures

The code to use the RAND function to generate 150 1 to 5 , used the kmeans algorithm for classification; S Tep1 Select k -initial Center BN=round (n/k*RAND);% before the first random number in 1/K area NC=[x (BN,:), x (2*BN,:), x (3*bn,:), x (4*bn,:)];% initial cluster centers...
  Matlab        Matlab     

idl-coyote

idl Mapping package, very practical from http://www.idlcoyote.com/...
  IDL        C     

idl-coyote

idl graphic package, very practical...
  IDL        C     

kmeans clustering for segmenting

This code is written to implement kmeans clustering for segmenting any Gray or Color image. There is no requirement to mention the number of cluster for clustering.  IM - is input image to be clustered. LB - is labeled image (Clustered Image). CENTER - is array of cluster center...
  Matlab        Matlab     

K-means cluster

K-means cluster Using c++ to realize, we will study together the Exchange. Step 1. N data objects arbitrarily choose k objects as the initial cluster centers; Step 2. Loop Step 3 to Step 4 until each cluster is no longer changes; Step 3. Under each cluster...
  Image Processing        C++     

Kmeans cluster

This is a project in natural language process, it is one of  classic  clustering algorithms in data mining,the algorithms based on  distance,First choose k objects from n arbitrary data objects as the initial clustering center; for the left objects, according to  th...
  Java Development        Java     

K-means clustering

It implements k-means clustering. clustering is an unsupervised learning. it randomly selects k points to initial cluster center. it calculates mean of the groups and then update its center....
  Windows        C#     

clustering ERC

matlab codes of clustering ERC...
  sock        Matlab     

K-means algorithms MapReduce

public class KmeansMapper extends MapReduceBase implements Mapper<LongWritable, Text, IntWritable, DoubleArrayWritable> { // one coodinate(data) private List<DoubleWritable> coordinate = new ArrayList<DoubleWritable>(); private BasicKmeansTool basicKmeans = new BasicKmeans...
  Algorithm        Java     

Kmeans data clustering algorithm

Its a code for clustering  a group of unsupervised data into clusters... limited to only 3 clusters but i am working on it for multi-dimensional array...
  Matlab        Matlab     

k_means-segmentation

Using MATLAB to realize k-means image segmentation algorithm,k-means algorithm accepts input k; and n data objects into k clusters in order to make the access to the cluster meet: similarity of objects higher in the same cluster and less similarity between different objects in the cluster. Clusteri...
  Algorithm        Matlab     

Remove Noise of the kmeans algorithm, Java implementation

Nothing says, directly on the source code...
  数据挖掘算法        Java     

meanshift_Code

It is the improvement of meanshift algorithm, called a continuous Adaptive meanshift algorithm, CamShift algorithm is the full name of "Continuously Adaptive Mean-SHIFT", which is the basic idea of all frames of a video image for meanshift operations and results of the previous frame (the Center and...
  Matlab        Matlab     

meanshift algorithm Matlab program

Algorithm Matlab program meanshift, which contains a collection of test images, the code includes comments, meanshift algorithm is described in great detail the process: initialization, weight calculations, PAP distance calculation, and update the target location in real time, learning is easy...
  Matlab        Matlab     

meanshift tracking based on visal

meanshift by Comaniciu first put forward, is an algorithm for tracking non-rigid objects. In order to characterize the target, you first need to select a feature space. Reference objects, represented by the probability density function of q in the feature space, such as reference models you can choo...
  Matlab        Matlab     

NLmeans GoossensLNLA2008 demo code

This source code is based on the improvement of non-local means Denoise algorithm for graphics, better than traditional methods...
  Image Processing        Matlab     

CGridlistCtrlEx - Grid Control Based on CListCtrl

Microsoft's CListCtrl has support for displaying data in a grid using the report style, but we have to make several changes to implement features like: Sorting Cell navigation and keyboard search Tooltips Hiding and showing columns Cell editing...
  Windows        C++     

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