Web Usage Mining is the application of data mining techniques to find usage patterns from web log data, so as to grasp required patterns and serve the requirements of Web-based applications. User’s expertise on the internet may be improved by minimizing user’s web access latency. This may be done by predicting the future search page earlier and the same may be prefetched and cached. Therefore, ...

Scholarships are a form of appreciation given to students. In college scholarships that usually from foundations. The limited number foundation provided by tertiary institutions is certainly separate problem for elements leadership or management. problems encountered must be resolved as well possible. Therefore, it necessary group students who prioritized get scholarships. process determining p...

K-medoids clustering algorithm is used to classify data, but the approach is sensitive to the initial selection of the centers and the divided cluster quality is not high. Basic Artificial Fish Swarm Algorithm is a new type of heuristic swarm intelligence algorithm, but optimization is difficult to get a very high precision due to the randomness of the artificial fish behavior. A novel clusteri...

This paper presents a feature level fusion approach which uses the improved K-medoids clustering algorithm and isomorphic graph for face and palmprint biometrics. Partitioning around medoids (PAM) algorithm is used to partition the set of n invariant feature points of the face and palmprint images into k clusters. By partitioning face and palmprint images with scale invariant features SIFT poin...

In this paper a number of improvements are suggested that can be applied to most k-medoids-based algorithms. These can be divided into two categories conceptual / algorithmic improvements, and implementational improvements. These include the revisiting of the accepted cases for swap comparison and the application of partial distance searching and previous medoid indexing to clustering. We propo...

Corona virus merupakan sebuah penyakit yang menyerang infeksi saluran pernafasan manusia umumnya ringan, seperti flu dan batuk. Jika tidak ada penanganan cepat akan mengakibatkan kematian. Virus ini dengan menular ke melalui udara bersentuhan. Untuk mengurangi penyebaran dibutuhkan klastrisasi menggunakan algortima K-Means K-Medoids, metode bekerja untuk mempartisi objek kedalam kelompok. Klast...

In this document, we show more details and results from the paper ‘Archetypoids: a new approach to define representative archetypal data’. 1. Outline of the PAM algorithm PAM algorithm: The goal of k-medoids is to minimize the average dissimilarity (cost) of objects to their closest selected object. 1. BUILD phase: look for a good initial set of k objects, the medoids, from the n data points by...

Text clustering is one of the key research areas in data mining. K-medoids is a classical partitioning algorithm, which can better solve the isolated point problem, but it often converges to local optimization. In this paper, we put forward a new genetic algorithm called KGA algorithm by putting k-medoids into the genetic algorithm, then we form a local Optimal Solution with multiple initial sp...

Open water areas surrounded by sea ice significantly influence the ocean-ice-atmosphere interaction and contribute to Arctic climate change. Satellite altimetry can detect these ice openings and enables one to estimate sea surface heights and further altimetry data derived products. This study introduces an innovative, unsupervised classification approach for detecting open water areas in the G...