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.
JAVA software which use k-means Algorithm in order to sort French ski resort into three clusters (Small Size, Medium Size, Big Size).
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.
Clustering data ruspini menggunakan k-means dan menganalisa cluster menggunakan variance
Vector quantization compression for images using k-means clustering algorithm.
A Java program for clustering data with the k-means algorithm.
Data clustering algorithms implemented in Java with Strategy design pattern.
Implemented the K-Means Clustering Algorithm. This project can cluster pixels of a similar kind together.
Java Implemention of Data Warehousing and Mining algorithms
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