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Shafiq et al., 2016 - Google Patents

A parallel k-medoids algorithm for clustering based on MapReduce

Shafiq et al., 2016

Document ID
13869645502350791746
Author
Shafiq M
Torunski E
Publication year
Publication venue
2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)

External Links

Snippet

One of the most important machine learning techniques include clustering of data into different clusters or categories. There are several decent algorithms and techniques that exist to perform clustering on small to medium scale data. In the era of Big Data and with …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30312—Storage and indexing structures; Management thereof
    • G06F17/30321—Indexing structures
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    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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    • G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
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