In data mining, traditional clustering techniques are not so effective as hoped. The large-scale databases, the disagreements in variable’s measurement levels, and the exhausting distance matrix operation, are the th...In data mining, traditional clustering techniques are not so effective as hoped. The large-scale databases, the disagreements in variable’s measurement levels, and the exhausting distance matrix operation, are the three main obstacles.By using roughset theory, we introduced a new clustering approach in large-scale data analysis without using geometry distance measurements.展开更多
文摘In data mining, traditional clustering techniques are not so effective as hoped. The large-scale databases, the disagreements in variable’s measurement levels, and the exhausting distance matrix operation, are the three main obstacles.By using roughset theory, we introduced a new clustering approach in large-scale data analysis without using geometry distance measurements.
