R package with convenience tools for clusteranalyses

Clustering

A Density-Based Clustering Fine-Tuning approach for the identification of small disjuncts

SPSS to build decision tree, KNN and classification models

Clustering Starter Kit

Java API focused on the managment of data clusters, specifically, in Agglomerative and Divisive Hierarchical clustering.

C++ tools for calculating cluster quality using information-theoretic measures

An online retail store is trying to understand the various customer purchase patterns for their firm.

rNVD (reverse normalized Van Dongen index) is a program that allows to calculate the similarity of two clusterings.

Python cluster-ss Package

Visual Assessment of Clustering Tendency for Finding the Number of Clusters in Datasets

Implementation of missing value treatment, clustering, Latent Dirichlet allocation and forecasting models in R

Graduate project implementing a pattern-based approach on organizational data

Allows a 2D view of the calculation process of kmeans clustering.

We intend to perform image segmentation. Image segmentation means that we can group similar pixels together and give these grouped pixels the same label. The grouping problem is a clustering problem. We want to study the use of K-means on the Berkeley Segmentation Benchmark.

RFM analysis is a type of customer segmentation and behavioral targeting used to help businesses rank and segment customers based on the recency, frequency, and monetary value of a transaction

Our team acquired survey data from the Pew Research Panel, and we explored the drivers of pessimism in American Prospective Attitudes. Understanding what most likely drives pessimistic or optimistic thinking about the future will help business leaders clarify strategies for moving forward and guide expectations of future success in the customers…