We present a method to compare songs based solely on their audio content. Our technique forms a signature for each song based on K-means clustering of spectral features. The signatures can then be compared using the Earth Mover’s Distance [14] which allows comparison of histograms with disparate bins. Preliminary objective and subjective results on a database of over 8000 songs are encouraging....

The purpose of this study was to identify possible subtypes of students with learning disabilities based upon gross motor functions. Subjects in a private school for learning difficulties were divided into a group of students with learning disabilities and a comparison group. Gross motor subtests from the Bmininks-Oseretsky Test of Motor Proficiency (Bruininks, 1978) were administered to both l...

This paper introduces a hybrid hierarchical clustering method, which is a novel method for speeding up agglomerative hierarchical clustering by seeding the algorithm with clusters obtained from K-means clustering. This work describes a benchmark study comparing the performance of hybrid hierarchical clustering to that of conventional hierarchical clustering. The two clustering methods are compa...