Machine learning engine that fuses unsupervised and supervised learning
Clumit embraces a blend of unsupervised and supervised learning, an approach often referred to as semi-supervised learning. The reality is that not many domains can be fully supervised. For most enterprises, leveraging a mix of both supervised and unsupervised learning is paramount for efficacy.
Remarkably, ClumL stands out as one of the rare entities globally that has crafted its proprietary machine learning engine. In Korea, we are unrivaled in this distinction.
AI-driven data analytics as a service
Clumit, an innovation from ClumL, was conceived leveraging our indigenous technology, spanning from foundational technology to application software. It was meticulously engineered to seamlessly integrate across diverse verticals. Moreover, its architecture facilitates its offering as a cloud service. Soon, ClumL will be rolling out Clumit's dedicated cloud service.
A machine learning engine that adeptly executes Clustering-Classification-Labeling
Clumit is proficient in assimilating and scrutinizing both structured and unstructured datasets. It dutifully carries out the quintessential unsupervised learning process of Clustering-Classification-Labeling.
Clumit's machine learning algorithms
Clustering by Pattern Recognition
High-Speed Hierarchical Clustering (Proprietary)
Genetic Algorithm for Signature Optimization
DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
OPTICS (Ordering Points to Identify the Clustering Structure)
Naive Bayes
Support Vector Machines
Random Forest
Deep Learning