problem about k-means-Collection of common programming errors

2 years ago
admin
3 minutes

  • Dow
    python matlab k-means
    I’m running kmeans on a large dataset and I’m always getting the error below:Error using kmeans (line 145) Some points have small relative magnitudes, making them effectively zero. Either remove those points, or choose a distance other than ‘cosine’.Error in runkmeans (line 7) [L, C]=kmeans(data, 10, ‘Distance’, ‘cosine’, ‘EmptyAction’, ‘drop’)My problem is that even when I add a 1 to all the vectors, I still get this error. I would expect it to p

  • user2454360
    hadoop cluster-analysis classnotfoundexception mahout k-means
    Hi i’m trying to run SimpleKmeanClustering Code, from Github to see how clustering works, I’m able to complile the code on my windows Eclipse.I made a jar of my project, i want to run it on a single node Hadoop cluster(CHD-4.2.1), with mahout installed on it. The mahout examples run fine on this cluster, so no issues regarding installation.I use the following command in command Promt to run my jar, i’m not sure if i’m trying in right way.user@INFPH01463U:~$ mahout jar /home/user/apurv/Kmean.jartryout.SimpleKMeansClusteringI got corresponding errorMAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath. Runningon hadoop, using /usr/lib/hadoop/bin/hadoop andHADOOP_CONF_DIR=/etc/hadoop/conf MAHOUT-JOB:/usr/lib/mahout/mahout-examples-0.7-cdh4.3.0-job.jar 13/06/06 14:42:18WARN driver.MahoutDriver: Unable to add class: jarjava.lang.ClassNotFoundException: jarat java.net.URLClassLoader$1.run(URLClassLoader.java:202)at java.security.AccessController.doPrivileged(Native Method)at java.net.URLClassLoader.findClass(URLClassLoader.java:190)at java.lang.ClassLoader.loadClass(ClassLoader.java:306)at java.lang.ClassLoader.loadClass(ClassLoader.java:247)at java.lang.Class.forName0(Native Method)at java.lang.Class.forName(Class.java:169)at org.apache.mahout.driver.MahoutDriver.addClass(MahoutDriver.java:236)at org.apache.mahout.driver.MahoutDriver.main(MahoutDriver.java:128)at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)at java.lang.reflect.Method.invoke(Method.java:597)at org.apache.hadoop.util.RunJar.main(RunJar.java:208) 13/06/06 14:42:18 WARN driver.MahoutDriver: No jar.props found onclasspath, will use command-line arguments only Unknown program ‘jar’chosen. Valid program names are: arff.vector: : Generate Vectorsfrom an ARFF file or directory baumwelch: : Baum-Welch algorithm forunsupervised HMM training canopy: : Canopy clustering cat: : Printa file or resource as the logistic regression mode

  • Seb
    c image-processing opencv k-means
    I am trying to create a clustered image from data being returned from the kmeans function. I try to pull out the data in a similar fashion from the OpenCV example but that seems to crash on me. After some further research I saw that someone had pulled data out by using the centers, but did nothing with that data so my trail ended there.I have included a snippet of my code and what I am doing below. Any help would be greatly appreciated.EDIT I’ve reverte

  • Ripounet
    c image-processing opencv k-means
    I am trying to run kmeans on a 3 channel color image, but every time I try to run the function it seems to crash with the following error:OpenCV Error: Assertion failed (data.dims 0) in unknown function, file ..\..\..\OpenCV-2.3.0\modules\core\src\matrix.cpp, line 2271I’ve included the code below with some comments to help sp

Originally posted 2013-11-06 03:13:01.