Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP
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Updated
May 4, 2024 - Java
Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP
Personalized real-time movie recommendation system
Using Maching Learning KMeans Algorithm to reduce image colors and compress
Selective search partitions large scale dataset into subsets(shards) such that only few shards needs to be searched for a query, thus improving search efficiency and effectiveness
Implémentation de l'algorithme de clustering k-means en utilisant le framework Hadoop version 3.1.3 (MapReduce).
Distributed development applied to KMeans clustering algorithm using Hadoop and Spark.
JAVA software which use k-means Algorithm in order to sort French ski resort into three clusters (Small Size, Medium Size, Big Size).
Underwater Mine ID platform designed for use by the Navy & implemented with Hadoop, Oracle DB, Apache Tomcat, and a K-Means Clustering + DBScan algorithm
Image Processing algorithms implement in Java.
TP d'analyse et de classification de données
B.Tech. Major Project
Multi-document Text Summarization using Map Reduce. Implemented in Java which Involves KMeans Clustering, Topic Modelling, finding Semantic terms, Summarizing.
Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3
A java implementation of image segmentation using k-means clustering, an unsupervised machine learning algorithm
A mobile application that allows the end user to take a picture with his device, this picture will be processed by means of the K-Means clustering algorithm and then the segmented image will be returned, offering also the possibility to store it in the device.
Text mining in Java
k means using Hadoop library
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