Can't install on newest Drupal

I really can't, I'm sorry. I know this is a newbie problem but I find the documentation a bit lacking.

Anyway, what I've tried so far is

1: a) downloading release version sources b) done mvn install (which takes about an hour) -> NO GO
2: a) got svn version sources b) done mvn install (takes about an hour) -> NO GO
3: tried searching for already compiled .deb -packages but can't find -> NO GO
4: tried setting CLASSPATH to different subdirectories of my mahout-installation -> NO GO

So my questions (I know nothing about Java):
1) Which files I need to have on my Classpath so that mahout can run?
2) Is there a Debian package for Mahout somewhere?
3) What do you mean in your README.txt with **Step 2**. Download Apache Mahout v.0.5+ from http://mahout.apache.org/, and extract it to "sites/all/libraries/mahout". Does this mean that I do not need to do mvn install? You only say download while you use "install" in other steps.

If I try to run mahout from /bin this is the output:

./mahout
MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
no HADOOP_HOME set, running locally
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/mahout/driver/MahoutDriver
Caused by: java.lang.ClassNotFoundException: org.apache.mahout.driver.MahoutDriver
at java.net.URLClassLoader$1.run(URLClassLoader.java:217)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:205)
at java.lang.ClassLoader.loadClass(ClassLoader.java:321)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:294)
at java.lang.ClassLoader.loadClass(ClassLoader.java:266)
at java.lang.ClassLoader.loadClassInternal(ClassLoader.java:334)
Could not find the main class: org.apache.mahout.driver.MahoutDriver. Program will exit.

Sorry, if I run mahout from bin/ I get this:

macoute@asturia:/var/www/vhosts/ottomatias.com/html/tiedotteet/open/drupal-7.12/sites/all/libraries/mahout-distribution-0.6/bin$ ./mahout
MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
no HADOOP_HOME set, running locally
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/var/www/vhosts/ottomatias.com/html/tiedotteet/open/drupal-7.12/sites/all/libraries/mahout-distribution-0.6/examples/target/mahout-examples-0.6-job.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/var/www/vhosts/ottomatias.com/html/tiedotteet/open/drupal-7.12/sites/all/libraries/mahout-distribution-0.6/examples/target/dependency/slf4j-jcl-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/var/www/vhosts/ottomatias.com/html/tiedotteet/open/drupal-7.12/sites/all/libraries/mahout-distribution-0.6/examples/target/dependency/slf4j-log4j12-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
An example program must be given as the first argument.
Valid program names are:
arff.vector: : Generate Vectors from an ARFF file or directory
baumwelch: : Baum-Welch algorithm for unsupervised HMM training
canopy: : Canopy clustering
cat: : Print a file or resource as the logistic regression models would see it
cleansvd: : Cleanup and verification of SVD output
clusterdump: : Dump cluster output to text
clusterpp: : Groups Clustering Output In Clusters
cmdump: : Dump confusion matrix in HTML or text formats
cvb: : LDA via Collapsed Variation Bayes (0th deriv. approx)
cvb0_local: : LDA via Collapsed Variation Bayes, in memory locally.
dirichlet: : Dirichlet Clustering
eigencuts: : Eigencuts spectral clustering
evaluateFactorization: : compute RMSE and MAE of a rating matrix factorization against probes
fkmeans: : Fuzzy K-means clustering
fpg: : Frequent Pattern Growth
hmmpredict: : Generate random sequence of observations by given HMM
itemsimilarity: : Compute the item-item-similarities for item-based collaborative filtering
kmeans: : K-means clustering
lda: : Latent Dirchlet Allocation
ldatopics: : LDA Print Topics
lucene.vector: : Generate Vectors from a Lucene index
matrixdump: : Dump matrix in CSV format
matrixmult: : Take the product of two matrices
meanshift: : Mean Shift clustering
minhash: : Run Minhash clustering
pagerank: : compute the PageRank of a graph
parallelALS: : ALS-WR factorization of a rating matrix
prepare20newsgroups: : Reformat 20 newsgroups data
randomwalkwithrestart: : compute all other vertices' proximity to a source vertex in a graph
recommendfactorized: : Compute recommendations using the factorization of a rating matrix
recommenditembased: : Compute recommendations using item-based collaborative filtering
regexconverter: : Convert text files on a per line basis based on regular expressions
rowid: : Map SequenceFile to {SequenceFile, SequenceFile}
rowsimilarity: : Compute the pairwise similarities of the rows of a matrix
runAdaptiveLogistic: : Score new production data using a probably trained and validated AdaptivelogisticRegression model
runlogistic: : Run a logistic regression model against CSV data
seq2encoded: : Encoded Sparse Vector generation from Text sequence files
seq2sparse: : Sparse Vector generation from Text sequence files
seqdirectory: : Generate sequence files (of Text) from a directory
seqdumper: : Generic Sequence File dumper
seqwiki: : Wikipedia xml dump to sequence file
spectralkmeans: : Spectral k-means clustering
split: : Split Input data into test and train sets
splitDataset: : split a rating dataset into training and probe parts
ssvd: : Stochastic SVD
svd: : Lanczos Singular Value Decomposition
testclassifier: : Test the text based Bayes Classifier
testnb: : Test the Vector-based Bayes classifier
trainAdaptiveLogistic: : Train an AdaptivelogisticRegression model
trainclassifier: : Train the text based Bayes Classifier
trainlogistic: : Train a logistic regression using stochastic gradient descent
trainnb: : Train the Vector-based Bayes classifier
transpose: : Take the transpose of a matrix
validateAdaptiveLogistic: : Validate an AdaptivelogisticRegression model against hold-out data set
vecdist: : Compute the distances between a set of Vectors (or Cluster or Canopy, they must fit in memory) and a list of Vectors
vectordump: : Dump vectors from a sequence file to text
viterbi: : Viterbi decoding of hidden states from given output states sequence
wikipediaDataSetCreator: : Splits data set of wikipedia wrt feature like country
wikipediaXMLSplitter: : Reads wikipedia data and creates ch

So it seems to work. Anyway it doesnt matter if I change my classpath to bin/ -directory or to root -directory. Always the same error message I already posted.