Introduction to Cluster Analysis with R - an Example
203.9 هزار بار بازدید -
9 سال پیش
-
Provides illustration of doing cluster
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.
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.
9 سال پیش
در تاریخ 1394/09/12 منتشر شده
است.
203,906
بـار بازدید شده