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Clustering
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Xholon | |
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Title: Clustering | |
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My Notes | |
-------- | |
February 11, 2019 | |
References | |
---------- | |
(1) https://en.wikipedia.org/wiki/Cluster_analysis | |
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) | |
are more similar (in some sense) to each other than to those in other groups (clusters). | |
It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, | |
including machine learning, pattern recognition, image analysis, information retrieval, bioinformatics, data compression, and computer graphics. | |
(2) search for R packages: similarity, cluster | |
(3) search: clustering techniques | |
(4) https://www.analyticsvidhya.com/blog/2016/11/an-introduction-to-clustering-and-different-methods-of-clustering/ | |
(5) https://en.wikipedia.org/wiki/Jaccard_index | |
(6) https://en.wikipedia.org/wiki/Similarity_measure | |
(7) https://www.statmethods.net/advstats/cluster.html | |
(8) https://cran.r-project.org/web/packages/cluster/cluster.pdf | |
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