An Extension of Self-Organizing Maps to Categorical Data

Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on categorical data is still a challenge for SOM. This paper aims to extend standard SOM to handle feature values of categorical type. A batch SOM algorithm (NCSOM) is presented concerning the dissimilarity measure and update method of map evolution for both numeric and categorical features simultaneously.

Two new species of Family Prasiolaceae (Prasiolales, Chlorophyta) from China Sea

Amomg the 30 known species of the algal family Prasiolaceae (Prasiolales, Chlorophyta), nine marine species have been found in marine environments but none in China seas. We reported here two new species Prasiola fangchengensis Luan et Ding sp. nov. and Prasiola volcanica Luan et Ding sp. nov. from subtropical coastal water of southern China.