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Introduction to Cluster Analysis with R - an Example 8 лет назад


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Introduction to Cluster Analysis with R - an Example

Provides illustration of doing cluster analysis with R. R code: https://github.com/bkrai/Top-10-Machi... Data file link and more on cluster analysis:    • R Programming Live - Lecture 6 | Clus...   For citation as reference in a research paper, use: Meshram, A., and Rai, B. (2019). “User-Independent Detection for Freezing of Gait in Parkinson’s Disease Using Random Forest Classification,” International Journal of Big Data and Analytics in Healthcare, Vol. 4, Issue 1, 57-72. Rai BK (2017) “Feature Selection and Predictive Modeling of Housing Data Using Random Forest,” International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, Vol. 11, No. 4, 880-884. Xiaoling, Lu., Rai, B., Yan, Z., and Li, Y. (2018). “Cluster-based Smartphone Predictive Analytics for Application Usage and Next Location Prediction,” International Journal of Business Intelligence Research, Vol. 9, No. 2, 64-80. Topics 00:00 Read data file 00:45 Scatter plot 02:30 Data normalization 04:27 Calculate Euclidean distance 05:54 Cluster dendrogram with complete linkage 08:20 Cluster dendrogram with average linkage 08:52 Cluster membership 10:47 Cluster means 12:35 Silhouette plot 13:31 Scree plot 14:47 Non-hierarchical k-means clustering & interpretation Cluster analysis is an important tool related to analyzing big data or working in data science field. Machine Learning videos: https://goo.gl/WHHqWP Becoming Data Scientist: https://goo.gl/JWyyQc Introductory R Videos: https://goo.gl/NZ55SJ Deep Learning with TensorFlow: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi Text mining: https://goo.gl/7FJGmd Data Visualization: https://goo.gl/Q7Q2A8 Playlist: https://goo.gl/iwbhnE R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

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