我通过设置MAHOUT_LOCAL="True"
以下是我在shell脚本中的命令。
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
在运行脚本时，我遇到错误
Unknown program 'kmeans' chosen.
以下是日志信息：
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
导致此错误的原因是什么？