K-Means Clustering for iOS

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Key Details of K-Means Clustering

K-means clustering partitions data into k mutually exclusive clusters, and returns the index of the cluster to which it has assigned each...
Last updated on March 23, 2015
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Developer’s Description

By Donald Schaefer

K-means clustering partitions data into k mutually exclusive clusters, and returns the index of the cluster to which it has assigned each...

K-means clustering partitions data into k mutually exclusive clusters, and returns the index of the cluster to which it has assigned each observation.K-means clustering 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.The K-Means Clustering Ipad app provides a tap method entry of 1-20 data points with a selection of 1-5 Clusters for the allocation of the data points. This app also provides the summary of the Cluster/Data Points with assigned PointX/PointY values and a calculation of the Center Point for each cluster.The K-Means Clustering app displays the Clusters/Data Points with a color coding methodology for each data point.