[1] ALS Dataset and Case Study
https://umich.instructure.com/courses/38100/files/folder/Case_Studies/15_ALS_CaseStudy
[2] Data Science and Predictive Analytics (UMich HS650)
http://www.socr.umich.edu/people/dinov/2017/Spring/DSPA_HS650/notes/12_kMeans_Clustering.html
[3] K-Means++
https://www.analyticsvidhya.com/blog/2019/08/comprehensive-guide-k-means-clustering/
[4] K-means Scikit-Learn Manual
https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html
[5] K-means++: The Advantages of Careful Seeding David Arthur and Sergei Vassilvitskii
http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf
[6] K-means Clustering: Algorithm, Applications, Evaluation Methods, and Drawbacks
[7] Silhouette Plots, TMHG534 Data mining and machine learning
https://www.youtube.com/watch?v=_j37uExzbXk, https://mu-informatics.org/courses/data-mining-and-machine-learning/
[8] Density-Based Algorithm for Discovering Clusters
https://www.aaai.org/Papers/KDD/1996/KDD96-037.pdf
[9] Clustering Lecture, Density-based Methods
https://cse.buffalo.edu/~jing/cse601/fa12/materials/clustering_density.pdf
ALS Clustering Project is licensed under the MIT license. See LICENSE for more information.
You can download the latest release from this repository.
This project was prepared and shared for educational purposes only. You can use or edit any file as you wish.
Süha TANRIVERDİ Çankaya University, Computer Engineering