Fractal Dimension for Data Mining Export

@misc{citeulike:2208594, abstract = {In this project, we introduce the concept of intrinsic \"fractal\" dimension of a data set and show how this can be used to aid in several data mining tasks. We are interested in answering questions about the performance of a method and also in comparing between the methods quickly. In particular, we discuss two specific problems -- dimensionality reduction and vector quantization. In each of these problems, we show how the performance of a method is related to the fractal dimension of the...}, author = {Skkumar, Krishna K.}, citeulike-article-id = {2208594}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.2215}, keywords = {fractal, mining}, posted-at = {2008-01-08 19:10:59}, priority = {2}, title = {Fractal Dimension for Data Mining}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.2215} }

TY - GEN ID - citeulike:2208594 L3 - citeulike-article-id:2208594 N2 - In this project, we introduce the concept of intrinsic "fractal" dimension of a data set and show how this can be used to aid in several data mining tasks. We are interested in answering questions about the performance of a method and also in comparing between the methods quickly. In particular, we discuss two specific problems -- dimensionality reduction and vector quantization. In each of these problems, we show how the performance of a method is related to the fractal dimension of the... TI - Fractal Dimension for Data Mining KW - fractal KW - mining AU - Skkumar, Krishna UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.2215 ER -