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Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
Python Program for Text Clustering using Bisecting k-means
Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark
Build and evaluate clustering models using PySpark 3.0.1 library.
PySpark - Clustering with Kmeans++ and Bisecting K-means
My master thesis – It is about clustering of product data as provided by typical product information management systems.
Implemented an auto-clustering tool with seed and number of clusters finder. Optimizing algorithms: Silhouette, Elbow. Clustering algorithms: k-Means, Bisecting k-Means, Gaussian Mixture. Module includes micro-macro pivoting, and dashboards displaying radius, centroids, and inertia of clusters. Used: Python, Pyspark, Matplotlib, Spark MLlib.
CS F320: Foundations of Data Science Assignment
Clustering the given text data using a variation of DBSCAN