JAVA software which use k-means Algorithm in order to sort French ski resort into three clusters (Small Size, Medium Size, Big Size).
Created topic models with tf-idf for 142 unlabled news articles using the Stanford Core NLP library. With the resulting data, implemented clustering and classification algorithms (K-means and KNN) from scratch.
Network Programming using UDP datagram sockets
Classification algorithms to identify images by their bitmaps
Single-node Hadoop cluster to implement MapReduce K-means and compare complexity with non-parallel K-means algorithms
Generating color pallets from images using k-means clustering algorithm and Java.
A Java program for clustering data with the k-means algorithm.
Data clustering algorithms implemented in Java with Strategy design pattern.
Clustering data ruspini menggunakan k-means dan menganalisa cluster menggunakan variance
Implemented the K-Means Clustering Algorithm. This project can cluster pixels of a similar kind together.
Vector quantization compression for images using k-means clustering algorithm.
Java Implemention of Data Warehousing and Mining algorithms
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