CLUSTAR-PC performs hierarchical cluster analysis and provides for (a) 6 methods of data standardization, (b) 14 commonly used (dis)similarity coefficients for binary or multistate data, (c) 9 coefficients for interval/ratio scaled data, and (d) 4 clustering methods-single linkage, complete linkage, average linkage, and minimum variance (Ward's method). It also allows for data matrices with attributes measured on a mixture of binary and interval/ ratio scales. Dendrograms are produced, and the program will label the branches according to names the user specifics.