AGNES (Agglomerative Nesting) is one of the most popular hierarchical clustering algorithms used in data mining. You might be familiar with some basic clustering algorithms such as K-Means, K-Medoids ...

From the standpoint of sample geometry, two concepts, i.e., the sample clustering dispersion degree and the sample clustering synthesis degree, are defined, and a new clustering validity index is ...

Agglomerative Token Clustering This repository is the official implementation of Agglomerative Token Clustering. We present Agglomerative Token Clustering (ATC), a novel token merging method that ...

This project explores the application of unsupervised machine learning techniques on the Wine dataset, which contains chemical properties of different wine cultivars grown in the same region of Italy.

In this paper, we present an agglomerative fuzzy $k$-means clustering algorithm for numerical data, an extension to the standard fuzzy $k$-means algorithm by in ...

Sequential agglomerative hierarchical clustering schemes are considered in particular detail, and several new methods are proposed. The new algorithms are characterized by their ability to "adapt" to ...

Our model further identifies how the lengths over which agglomerative forces operate influence the shapes and sizes of industrial clusters; we confirm these predictions using variations across patent ...

Dissimilarities were calculated using Gower’s Distance and Agglomerative Coefficients (AC) examined strength of clustering structures. Main Results Four clusters (AC=0.96) ranging from minimal or nil ...