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PORunning Mahout kMeans in local
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  1. PORunning Mahout kMeans in local
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    copied!<p>I am running mahout kmeans by setting <code>MAHOUT_LOCAL="True"</code></p> <p>Below is the command i have in my shell script.</p> <p><code>mahout kmeans --input ./seq_input/ --output ./output --numClusters 4 --maxIter 10 --convergenceDelta .0001 --clustering --distanceMeasure org.apache.mahout.common.distance.CosineDistanceMeasure --overwrite --clusters ./centroid_vectors</code></p> <p>while running the script, i am getting below error</p> <pre><code>Unknown program 'kmeans' chosen. </code></pre> <p>Below is the log information:</p> <pre><code>MAHOUT_LOCAL is set, so we don't add HADOOP_CONF_DIR to classpath. MAHOUT_LOCAL is set, running locally SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/usr/lib/mahout/mahout-examples-0.7-cdh4.3.0-job.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/usr/lib/mahout/lib/slf4j-jcl-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. log4j:WARN No appenders could be found for logger (org.apache.mahout.driver.MahoutDriver). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. Unknown program 'kmeans' chosen. Valid program names are: arff.vector: : Generate Vectors from an ARFF file or directory baumwelch: : Baum-Welch algorithm for unsupervised HMM training cat: : Print a file or resource as the logistic regression models would see it hmmpredict: : Generate random sequence of observations by given HMM lucene.vector: : Generate Vectors from a Lucene index runAdaptiveLogistic: : Score new production data using a probably trained and validated AdaptivelogisticRegression model runlogistic: : Run a logistic regression model against CSV data seqwiki: : Wikipedia xml dump to sequence file svd: : Lanczos Singular Value Decomposition trainAdaptiveLogistic: : Train an AdaptivelogisticRegression model trainlogistic: : Train a logistic regression using stochastic gradient descent validateAdaptiveLogistic: : Validate an AdaptivelogisticRegression model against hold-out data set viterbi: : Viterbi decoding of hidden states from given output states sequence </code></pre> <p><br> What is causing this error ? </p>
 

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