Yooreeka
A library for data mining, machine learning, soft computing, and mathematical analysis
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+ | Hierarchical Clustering | An agglomerative approach that groups similar data points into clusters based on their proximity |
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+ | Partitional Clustering | Divisive method (e.g., k-means) that partitions data into distinct clusters |
+ | Bayesian Classification | Probabilistic approach to classification based on Bayes’ theorem |
+ | Decision Trees | Tree-based model for classification |
+ | Neural Networks | Deep learning models for complex patterns |
+ | Rule-based Classification | Utilizes rules (e.g., via Drools) to classify data |
+ | Collaborative Filtering | Recommends items based on user preferences and similar users |
+ | Content-based Filtering | Suggests items based on their content features |
+ | PageRank Search | Measures the importance of web pages in a network |
+ | DocRank Search | Ranks documents based on relevance |
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Data Mining
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Machine Learning
Massive Online Analysis TensorFlow Apache Mahout Apache Spark Apache MXNet Apache SystemDS Eclipse Deeplearning4j MALLET mlpack OpenCV Orange PyTorch scikit-learn The Microsoft Cognitive Toolkit Torch Weka
KNIME Analytics Platform Massive Online Analysis ELKI OpenNN Orange scikit-learn Weka
Machine Learning
Massive Online Analysis TensorFlow Apache Mahout Apache Spark Apache MXNet Apache SystemDS Eclipse Deeplearning4j MALLET mlpack OpenCV Orange PyTorch scikit-learn The Microsoft Cognitive Toolkit Torch Weka