Tag Archives: Clustering

Compare and contrast various data mining software applications.

Week 4 Topic: Data Mining Software, Techniques and Applications: Clustering Course Learning Objectives: Compare and contrast various data mining software applications. Identify the steps in the decision-making process. Identify the steps in the data mining process. Explain the different data mining techniques. Evaluate a data set for ethical considerations. Apply the data mining steps to […]

How can mobile app be used for early detection and intervention of cerebral palsy in neonatal high risk pregnancies?

Research & Summaries How can mobile app be used for early detection and intervention of cerebral palsy in neonatal high risk pregnancies? The aim of this project is to be able to use mobile app clustering in identifying pregnant women with high risks of birthing a cerebral palsy child. CP is diagnosed when a child […]

Compare between results in previous two sections (a and b), which algorithm give the better result and why?

Provide a brief description and examples of each of the following methods of clustering: Partitioning methods. Hierarchical methods. Density-based methods. Grid-based methods.  Load the soybean diagnosis data set in Weka (found in Weka-3.6/data/soybean.arff), then perform the following: Build a decision tree by selecting J48 as the classifier and 10-way cross-validation. Then fill out the following […]

Demonstrate a wide range of clustering, estimation, prediction, and classification algorithms to solve a specific program or application.

  2 Marks   Learning Outcome(s): Demonstrate a wide range of clustering, estimation, prediction, and classification algorithms to solve a specific program or application.               Question One By using Cosine Similarity Formula, find the similarity between documents: Document 1 (A) and Document 2 (B), with given value of A […]