This paper studies the problem of categorical data clustering,
especially for transactional data characterized by high
dimensionality and large volume. Starting from a heuristic method
of increasing the height-to-width ratio of the cluster histogram, we
develop a novel algorithm – CLOPE, which is very fast and
scalable, while being quite effective. We demonstrate the
performance of our algorithm on two real world
Written by the inventors of the technology, The Java™ Language Specification, Third Edition, is the definitive technical reference for the Java™ programming language. If you want to know the precise meaning of the language s constructs, this is the source for you.
The book provides complete, accurate, and detailed coverage of the Java programming language. It provides full coverage of all new features added since the previous edition, including generics, annotations, asserts, autoboxing, enums, for-each loops, variable arity methods, and static import clauses.
BY USING THIS SOFTWARE, YOU ARE AGREEING TO BE BOUND BY THE TERMS OF
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/*
* The internal form of a hash table.
*
* The table is an array indexed by the hash of the key collisions
* are resolved by hanging a linked list of hash entries off each
* element of the array. Although this is a really simple design it
* isn t too bad given that pools have a low allocation overhead.
*/
split from apache for general usage
