In this paper an unsupervised recursive learning schema for structured data clustering is introduced. The schema allows to process data organized in graphs for ...

In this paper an unsupervised recursive learning schema for structured data clustering is introduced. The schema allows to process data organized in graphs for ...

This paper proposes two complementary color systems: red-green-blue-white-black and cyan-magenta-yellow-black-white. Both systems belong to the five-valued ...

Fuzzy Clustering of Structured Data: some preliminary results. Giuseppe Vettigli, Angelo Ciaramella. Dept. of Science and Technology. University of Naples ...

In this paper an unsupervised recursive learning schema for structured data clustering is introduced, which allows to process data organized in graphs for ...

The fuzzy co-clustering algorithms are considered as effective technique for clustering the complex data, such as high-dimensional and large size. In general, ...

Fuzzy clustering of structured data: Some preliminary results. Vettigli, Giuseppe, Ciaramella, Angelo · Szczegóły · Współtwórcy · Bibliografia · Cytowania ...

Experimental studies have shown that the proposed fuzzy clustering method can discover the clusters in the data and help specify them in terms of some ...

The preliminary experimental results show that the proposal is equivalent to other State of The Art methods while requiring fewer communication rounds.

2023/10/01 · As fuzzy methods determine which data belong to clusters, they often provide better results than definite methods. The Fuzzy C-Mean Cluster (FCM) ...