New Book Release
We are excited to announce our new book: "Feature and Dimensionality Reduction for Clustering with Deep Learning". The book explores advanced methods in feature selection and dimensionality reduction using Deep Neural Networks, with a focus on clustering.
For more information and to access the book, visit the Springer website: Book Link
Developed Software & Projects
Clustering Techniques: S-CORE
A demonstration of our S-CORE clustering algorithm for data analysis.
Clustering Techniques: DLCS
Demonstration of the DLCS clustering method applied to various datasets.
Clustering Validation Indices: PDBI
Evaluation of clustering results using the PDBI index.
Image Processing: Background Removal
Automatic background removal tool for ID image datasets.