MLAI/Clustering
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Hierarchical Clustering and DendrogramsMLAI/Clustering 2020. 1. 22. 06:17
1. Overview If you have points on your scatterplot or data points as we looked at previously this is a two-dimensional space. If you apply a hierarchical clustering or just say H.C. for short. What'll happen is you will get clusters again very very similar to Kamins In fact sometimes the result of no results can be exactly the same as like k-means clustering. But the whole process is a bit diffe..
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Clustering analysisMLAI/Clustering 2019. 10. 6. 18:23
1. Overview 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 the main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern re..
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K-means clusteringMLAI/Clustering 2019. 10. 5. 23:59
1. Overview k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi ce..