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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     

M nearest neighbour tours are generated from randomly selected starting

M nearest neighbour tours are generated from randomly selected starting % points. Each tour is improved by 2-opt heuristics (pairwise exchange of % edges) and the best result is selected....
  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     

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++     

flann Fast Library for Approximate nearest neighbours)

Fast Library for Approximate nearest neighbours)...
  image processing        C++     

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     

image segmentation based of mean-shift

This program of the texture image analysis (very bad due to the total effect of matrix methods, this procedure using texture analysis based on frequency domain algorithm) based on the get the image texture features in different regions for these texture, using clustering (K-mean) regional division o...
  Matlab        Matlab     

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     

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     

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     

kmeans clustering algorithm

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

flann Fast Library for Approximate nearest neighbours)

FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset...
  Image Processing        C++     

k nearest neighbour

After receiving dozens of e-mails and comments regarding the Visual Basic implementation of K-nearest Neighbor (KNN), I finally got around to making a Java version of the code....
  Windows        Java     

meanshift vehicle detection

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

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     

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     

K-means algorithm

KmeanS uses a two-phase iterative algorithm to minimize the sum of point-to-centroid distances, summed over all K clusters.  The first phase uses what the literature often describes as "batch" updates, where each iteration consists of reassigning points to their nearest cluster centroid, all at...
  Algorithm        Matlab     

nearestneighborlinker

function [ target_indices target_distances unassigned_targets ] = nearestneighborlinker(source, target, max_distance) %nearestNEIGHBORLINKER link two lists of points based on nearest neighbor. % % target_indices = nearestNEIGHBORLINKER(source, target) finds for each % point in 'source' the close...
  Matlab        Matlab     

Kmeans聚类

K-means文件夹包含了一个有关图像灰度值的聚类,很好的程序。一看就能懂的,让你对传统K-means的聚类过程有很好的理解, 程序用Matlab编写,通过不断迭代直至收敛条件。迭代过程中不断更新聚类中心,最后完成聚类。但是...
  Matlab        Matlab     

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