partition

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partition

The division of real property into separate parcels for joint owners who no longer wish to own the property together.If possible,a court must physically divide the property into shares of equal value and quality.If not possible,the court will order a sale of the property with the proceeds to be split among the owners.Partition actions are encountered most often when an owner of real property dies without a will but with several heirs.If they cannot agree on a disposition of the property, it will be partitioned. In the alternative, investors will often buy an undivided interest from a minority heir for very little money and then petition a court for partition.Usually the investor will be able to buy the property at the partition auction, because none of the other owners can afford to purchase the whole.The strategy is not intended to obtain a bargain price for property,because the court will usually order an appraisal and prohibit any owner from buying at a price less than the appraised value. Rather, the practice is intended to force property onto the market even though some or most of the other owners have no desire to sell.

References in periodicals archive ?
Center-based partitional clustering techniques are based on the idea that a center point can represent a cluster.
Partitional algorithms can be used to obtain hierarchical clustering solutions via a sequence of repeated applications.
At the top level, there is a distinction between hierarchical and partitional approaches (hierarchical methods produce a nested series of partitions, while partitional methods produce only one).
Indeed, although the partitional categorization of the totality of trichords into twelve trichordal types has its origins - analytically, synthetically, and historically - in the twelve-tone universe, since the criteria for trichordal inclusion in one of the equivalence classes defining a "type" are equivalences of the intervallic content of the associated combinatorial hexachords (or, identically, pitch-class equivalence to within any combination of the usual transformations), these types have come to play decisive roles in music which would and could disavow any taint of twelve-tone serialism, perhaps because of the dependence of the classification solely upon content, not at all upon order.
Partitional cluster analysis separates touching and overlapping structures.
k--medoids clustering algorithm is partitional (breaks the dataset into groups) and attempts to minimize the distance between labeled and center of a cluster.
Among major approaches to clustering belong hierarchical, partitional, neural network-based or kernel-based clustering [1].
Among her topics are technological change as an evolutionary process, data extraction and processing, and partitional clustering using the k-means approach.
This approach uses the outcome of hierarchical clustering as seed points to proceed for partitional clustering.
Up to now I have dealt with the array only as it emerges from my hearing of the musical surface, without delving into the specifics of its partitional design.
K-means algorithm is a widely used partitional clustering algorithm in the various application.
The hierarchical approach produces a nested series of partitions whereas the partitional approach yields a flat structure, in which the relationship between clusters is not as clear as in the first approach.