Google Data Analytics Professional Certificate: Coursera IBM Data Science Professional Certificate: Coursera Learn SQL Basics for Data Science Specialization: Coursera the PwC Approach Specialization: ...
This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...
In this paper we propose a dimension-reducing k-means clustering procedure based on a projection pursuit (PP) technique. The clustering structure of high-dimensional data in terms of low-dimensional ...
In this paper, the authors contain a partitional based algorithm for clustering high-dimensional objects in subspaces for iris gene dataset. In high dimensional data, clusters of objects often exist ...
The main success of QSAR predictive technology is mainly related to the modelling of the single activity/property endpoint in chemical space. Unfortunately an optimisation of the targeted endpoint may ...
Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...
The upcoming release of Tableau 10 will introduce new features aimed at simplifying how customers use advanced analytic functions upon their data, such as a new k-means clustering algorithm that works ...
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