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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     

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++     

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     

Introduction to idl visualization tool and improve the tutorial code

The idl visualization tool for getting started with improving the tutorial code...
  Assembly Language        Others     

Fuzzy c-means clustering algorithm in C++ code

Cluster analysis is a multivariate statistical analysis, is also an important branch of unsupervised pattern recognition, image processing and Fuzzy pattern classification rules in many areas such as access to the most widely used. Fuzzy c-means clustering algorithm is a clustering algorithm...
  Matlab        C++     

Improvement of genetic algorithm Fuzzy c-means clustering source code

Fuzzy c- mean algorithm easier to converge to a local minimum, in order to overcome this disadvantage, the application of genetic algorithm in Fuzzy c- mean algorithm (FCM) optimization calculation, initial cluster centers obtained by genetic algorithm, and then using standard Fuzzy c- means cluster...
  Matlab        Matlab     

K-means clustering algorithm

K-means clustering method is divided into the following steps: First, initializing cluster centers 1, depending on the issue, experience from samples selected in the sample set c is appropriate as the initial cluster centers. 2, with ex-c samples as the initial cluster centers....
  Image Processing        Matlab     

Fuzzylogic

Fuzzy Logic system can control the actuators in order to run properly to regulate the temperature and humidity. In a Fuzzy system, there are three processes, namely: Fuzzyfication is this process serves to change an input analog scale becomes Fuzzy. Rule evaluation is the process to find a f...
  Matlab        Matlab     

meanshift vehicle detection

Moving vehicle detection and tracking of vehicle based on MATLAB real time well-car detectcar detectcar detect...
  Matlab        Matlab     

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