Can you explain clustering in mahout?
Answer / Poonam Gautam
"Clustering is a process of grouping similar items together, without the use of any pre-existing labels. In Apache Mahout, K-means Clustering is one of the popular algorithms implemented, where the data points are assigned to one of K clusters based on their similarity. The algorithm works by iteratively assigning each point to its closest centroid and then updating the centroids based on the new assignments."n
| Is This Answer Correct ? | 0 Yes | 0 No |
Mention some use cases of apache mahout?
What is the difference between apache mahout and prediction.io ?
What will apache driver do?
What is apache mahout?
Can you briefly explain the apache mahout?
What is the history of apache mahout? When did it start?
What is the difference between apache mahout and apache spark’s mllib?
How is it different from doing machine learning in r or sas?
What is pre-requisites for contributing to apache mahout ?
How can we scale apache mahout in cloud?
What is the distinction between apache driver and apache spark’s mllib?
What is the history of apache mahout? Once did it start?
Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)
Apache Spark (991)
Apache HBase (164)
Apache Flume (95)
Apache Impala (72)
Apache Cassandra (392)
Apache Mahout (35)
Apache Sqoop (82)
Apache ZooKeeper (65)
Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)
Apache Avro (26)
Apache Presto (15)
Apache Tajo (26)
Hadoop General (407)