About this ebook
Key Features
- Explore clustering algorithms and cluster evaluation techniques
- Learn different types of clustering and distance measuring techniques
- Perform clustering on your data using KMeans clustering
- Discover how canopy clustering is used as preprocess step for KMeans
- Use the Fuzzy KMeans algorithm in Apache Mahout
- Implement Streaming KMeans clustering in Mahout
- Learn Spectral KMeans clustering implementation of Mahout
Key Features
Book DescriptionAs more and more organizations are discovering the use of big data analytics, interest in platforms that provide storage, computation, and analytic capabilities has increased. Apache Mahout caters to this need and paves the way for the implementation of complex algori...
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About the author
Ashish Gupta has been working in the field of software development for the last 10 years. He has worked in companies such as SAP Labs and Caterpillar as a software developer. While working for a start-up predicting potential customers for new fashion apparels using social media, he developed an interest in the field of machine learning. Since then, he has worked on big data technologies and machine learning for different industries, including retail, finance, insurance, and so on. He is passionate about learning new technologies and sharing that knowledge with others. He is the author of the book, Learning Apache Mahout Classification, Packt Publishing. He has organized many boot camps for Apache Mahout and the Hadoop ecosystem.
Ashish Gupta has been working in the field of software development for the last 10 years. He has worked in companies such as SAP Labs and Caterpillar as a software developer. While working for a start-up predicting potential customers for new fashion apparels using social media, he developed an i...
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