How many algorithms mahout supports for clustering?

2

Well Done. Your Answer is Correct Keep it Up! Explanation: Mahout supports two main algorithms for clustering namely: Canopy clustering and K-means clustering

1

3

4

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# Category: Hadoop Mahout

## How many algorithms mahout supports for clustering?

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## How many classification does Naive Bayes Classifier have?

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## ____________ generates NGrams and counts frequencies for ngrams, head and tail subgrams.

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## Point out the wrong statement.

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## Mahout provides an implementation of a ______________ identification algorithm which scores collocations using log-likelihood ratio.

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## Which of the following is not a features of Mahout?

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## Mahout provides ____________ libraries for common and primitive Java collections.

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## In which year Apache Mahout started?

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## Which of the following is true about mahout?

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How many algorithms mahout supports for clustering?

2

Well Done. Your Answer is Correct Keep it Up! Explanation: Mahout supports two main algorithms for clustering namely: Canopy clustering and K-means clustering

1

3

4

How many classification does Naive Bayes Classifier have?

2

Well Done. Your Answer is Correct Keep it Up! Explanation: Mahout uses the Naive Bayes classifier algorithm. It uses two implementations: Distributed Naive Bayes classification and Complementary Naive Bayes classification

3

4

5

____________ generates NGrams and counts frequencies for ngrams, head and tail subgrams.

CollocDriver

Well Done. Your Answer is Correct Keep it Up! Explanation: Each call to the mapper passes in the full set of tokens for the corresponding document using a StringTuple.

CollocationDriver

CarDriver

All Options are Correct

Point out the wrong statement.

None of the Option is Correct

Well Done. Your Answer is Correct Keep it Up! Explanation: There are a couple ways to run the llr-based collocation algorithm in mahout.

Taste’ collaborative-filtering recommender component of Mahout was originally a separate project and can run standalone without Hadoop

Integration of Mahout with initiatives such as the Pregel-like Giraph are actively under discussion

Calculating the LLR is very straightforward

Mahout provides an implementation of a ______________ identification algorithm which scores collocations using log-likelihood ratio.

collocation

Well Done. Your Answer is Correct Keep it Up! Explanation: The log-likelihood score indicates the relative usefulness of a collocation with regards other term combinations in the text.

compaction

collection

None of the Option is Correct

Which of the following is not a features of Mahout?

All Options are Correct

Well Done. Your Answer is Correct Keep it Up!

Mahout lets applications to analyze large sets of data effectively and in quick time.

Mahout includes matrix and vector libraries.

Mahout comes with distributed fitness function capabilities for evolutionary programming.

Mahout provides ____________ libraries for common and primitive Java collections.

java

Well Done. Your Answer is Correct Keep it Up! Explanation: Maths operations are focused on linear algebra and statistics.

perl

python

C

In which year Apache Mahout started?

2008

Well Done. Your Answer is Correct Keep it Up! Explanation: Apache Mahout started as a sub-project of Apache’s Lucene in 2008.

2007

2009

2010

Which of the following is true about mahout?

All Options are Correct

Well Done. Your Answer is Correct Keep it Up!

A mahout is one who drives an elephant as its master.

Apache Mahout is an open source project that is primarily used for creating scalable machine learning algorithms

Mahout lets applications to analyze large sets of data effectively and in quick time.

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